Machine Learning Resume Samples

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DK
D Kling
Delphia
Kling
78633 Hiram Corners
Dallas
TX
+1 (555) 852 5479
78633 Hiram Corners
Dallas
TX
Phone
p +1 (555) 852 5479
Experience Experience
08/2014 present
Los Angeles, CA
Software Engineer, Machine Learning
Los Angeles, CA
Software Engineer, Machine Learning
08/2014 present
Los Angeles, CA
Software Engineer, Machine Learning
08/2014 present
  • Work with Data Scientists and Product Managers to frame a problem, both mathematically and within the business context
  • Deploy validated algorithms to our RTB system, and develop techniques for monitoring and visualizing performance of all deployed algorithms
  • Knowledge developing and debugging in C/C++ and Java
  • Knowledge of one or more open-source Machine Learning framework
  • Develop prototypes and validate the results
  • Expert knowledge developing and debugging in C/C++ and Java
  • Contribute to the production solutions’ development, testing and deployment
04/2011 05/2014
Phoenix, AZ
Machine Learning Researcher
Phoenix, AZ
Machine Learning Researcher
04/2011 05/2014
Phoenix, AZ
Machine Learning Researcher
04/2011 05/2014
  • Work closely with development teams to ensure accurate integration of machine learning models into firm platforms
  • This role will suit you if you thrive on working in a fast paced environment where your work has high impact
  • Develop the team’s capabilities in data science and machine-learning, and apply them to create new data-driven insights
  • Create innovative, systematic investment signals and strategies based on a rigorous, peer-reviewed research process
  • Work with every investment team in MBFI (Credit, Macro, Equities, RV, Securitized, Mid-horizon etc.) to introduce cutting-edge techniques and innovative data sources across the Fund
  • Design, conduct, and report results from prototype or proof-of-concept research projects that focus on 1) new tools, methods, or algorithms, 2) new scientific domains or application areas, or 3) new data sets or sources
  • Develop new machine learning models to detect malicious activity on mobile devices
10/2006 10/2010
Detroit, MI
Machine Learning
Detroit, MI
Machine Learning
10/2006 10/2010
Detroit, MI
Machine Learning
10/2006 10/2010
  • Research & develop Machine Learning models for security problems, in the areas of Networking, Application & Data
  • Provide SW specifications and production quality code on time to meet project mile stones
  • Provide SW specifications, production quality code and engage with algorithm proliferation activities
  • Research and develop deep learning algorithms
  • Research and develop state of the art techniques in the field of computer vision, ML and DL
  • Work with the system, physics, SW and application group
  • Develop the next generation of automation tools for monitoring and measuring Ad Quality, with associated user interfaces
Education Education
Bachelor’s Degree in Computer Science
Bachelor’s Degree in Computer Science
Johnson & Wales University
Bachelor’s Degree in Computer Science
Skills Skills
  • Excellent organizational and analytical skills
  • Experience of developing data science capability
  • Excellent written and oral communication skills
  • Ability to read, understand, and communicate technical documentation
  • Strong communication, presentation and business and technical writing skills
  • Strong background in Python, SQL, and R. Familiarity with designing and conducting experiments with human subjects
  • Share knowledge with people known for their world-class expertise and insight
  • Relevant technical and delivery experience within, or working as a consultant/advisor to, a financial services organisation
  • Work with global clients, locally and internationally
  • Be exposed to different business cultures in high-performing teams
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1

Data / Machine Learning Engineering Manager Resume Examples & Samples

  • Apply machine learning methods on large data sets
  • Run small scale experiments with new algorithms and scale it up to 100B+ data points
  • Work with other stakeholders and prioritize data/ML initiatives across the product
  • Assume ownership over certain components and continuously work to improve them
  • Focus on user impact and how to build a better product
  • Be proactive and constantly pay attention to the scalability, performance and availability of our systems
  • Be a crucial part of growing our team, by interviewing candidates and representing Spotify
  • Help us tie connections to universities and research institutions, by leading collaborations and publishing research
  • Stay up to date on current data engineering trends, in particular distributed systems and large scale machine learning
  • Drive the recommendations technology agenda as a partner to product leaders
  • Foster highly-dynamic cross-functional agile teams and leverage lightweight processes to deliver on new product objectives
  • Lead the engineering of a continuous design, development, and testing lifecycle to bring features to market and measure their effectiveness
2

Senior Software Engineer Machine Learning Resume Examples & Samples

  • BS in Computer Science/Computer Engineering or comparable experience
  • 5+ years of experience with an Object-Oriented programming language
  • 2+ years of experience with Machine Learning, Statistical Models, and Natural Language Processing
  • Experience with Python
  • Solid understanding of Data Structures, Algorithms & Object-Oriented design concepts
  • Team player with excellent communication skills
  • Publications/Presentations in relevant communities (ICML, NIPS, CVPR, SIGIR, ACM Multimedia) is a strong plus
  • Legal or financial domain expertise is a plus
3

Software Engineer, Search & Machine Learning Resume Examples & Samples

  • Monitor the quality of the graph and reduce duplicate entities across the site (and web)
  • Increase the amount of metadata we have about each node and connectivity between entities
  • Create APIs and services that allow third-parties to integrate with and utilize the entity graph
  • Build/infer features that improve performance and other services (search, ads, feeds, etc.)
4

Machine Learning Software Student Resume Examples & Samples

  • Excellent Student at his 4th/5th semester, with at least 1.5 years before graduation
  • Proficiency in SW development: good knowledge/experience with C/C++
  • Matlab, Python is a plus
  • Ability to convert algorithms to efficient code
  • Knowledge of Machine Learning is a plus
  • Knowledge of Computer Architecture is a plus
5

Vertica Machine Learning Software Engineer Resume Examples & Samples

  • Design and implement state-of-the-art analytic techniques in our core database engine
  • Design and implement APIs for integration with external algorithm packages
  • Develop highly distributed algorithms based on Vertica APIs
  • Gather and determine requirements for new features
  • Develop and document intellectual property
  • Proficient in C/C++ and R
  • Machine learning and data mining techniques
  • Research and/or working experience in distributed algorithms is highly desirable
  • Productive in delivering production quality code and understand the balance between elegant and practical engineering solutions
  • Knowledge of SQL, Systems or Database internals is a plus
6

Machine Learning Graduate Intern Resume Examples & Samples

  • Characterized deep learning techniques for upcoming Intel architecture, identify innovation opportunities and limitations
  • Design new algorithms or adapt existing algorithms to leverage upcoming Intel architectures
  • Develop Proof-of-concept implementations to prove out functionality and performance
  • Tolerance of ambiguity
  • Desire to advance the state of the art in the deep learning techniques
  • The candidate must be working towards an MS degree in Electrical Engineering or Computer Engineering
  • Minimum of 2 years experience in machine learning techniques including deep learning techniques, auto-encoders, neural networks, sparse coding
  • Minimum of 2 years experience in computer vision and image processing algorithm development
  • Minimum of 3 years experience in C, C++ and MATLAB or Python. OS experience with Unix/Linux
  • Minimum 1 years of experience in machine learning algorithms internals for hardware/software acceleration
  • Knowledge of standard development tools including revision control, debugging tools, compilers, shell scripting, etc
  • Experience with computer system architecture
  • Mobile platform development experience (Android/iOS)
7

Machine Learning Resume Examples & Samples

  • PhD in CS/EE (concentration in one of the following: information retrieval, machine learning, biometrics, data mining and predictive analytics)
  • 5+ years professional experience developing product level algorithms and code
  • Outstanding expertise and research experience on statistical machine learning, data mining, and information retrieval
  • Excellent problem solving and data analysis skills
  • Strong software design and development skills/experience
  • Experience in Biometrics (Heart rate variability, calories, sleep analysis) is a plus
  • Publication history in the fields of machine learning and data mining is a plus
8

Applied Machine Learning Eng Resume Examples & Samples

  • Develop high-performance machine learning systems for detecting abnormality, intrusion, fraud, masquerading, malware, etc
  • Deliver end to end solution to analyze data that originates from users, services, or other automated systems
  • Develop infrastructure as required to enable new experiences in enterprise intelligence by deriving meaning from vast array of enterprise data about users and their activity
  • Actively engage other teams in Active Directory, Office 365 and Azure to identify problems and areas where data mining/machine learning/applied statistics can be used, and lead the development of solutions to these problems
  • Act as an expert in the area of data mining/machine learning/statistics to serve the fast growing needs of Active Directory
  • Experience with very large scale data processing/analysis (a.k.a. big data)
  • Strong C++ and/or C# skills (C# preferred) and understanding of software design patterns
  • Experience developing high-performance service-oriented solutions
  • A Ph.D degree in Computer Science is highly desired. Candidates with a Ph.D in other quantifiable fields (e.g. Statistics, Mathematics) with applied practical experience and programming background are also desirable
9

Machine Learning Quant Resume Examples & Samples

  • Advanced degree in quantitative discipline (statistics, physics, computer science, engineering, etc)
  • 3 + years of machine learning and data mining experience, preferably in financial industry
  • Solid understanding of machine learning techniques including: Support Vector Machine/Regression, Hierarchical clustering, Distant based Clustering, and Decision trees
  • Strong quantitative analysis and statistical modeling skills
  • Track record of gathering, matching, and pre-processing large data sets from varied sources and of different characteristics
  • Solid SQL (ideally MSSQL Server) programming skills
  • Experience writing stored procedure preferred
  • Professional experience in Matlab, VBA, or R. Nice to have c/c++
  • Familiarity with the Bloomberg Professional Service and Bloomberg data structure
  • Strong Project and Time Management skills
10

Machine Learning & Health Informatics Expert Resume Examples & Samples

  • Expertise and hands-on experience in machine learning, including academic research in machine learning and health informatics
  • Programming knowledge and experience - Java, python
  • Expertise in NLP in the medical domain - an advantage
  • Experience in scalable and parallel big data platforms and algorithms - an advantage
  • Experience in developing application for mobile platforms - an advantage
  • Doctorate Degree in Engineering
  • Hebrew: Fluent
11

Software Engineer, Machine Learning Resume Examples & Samples

  • Large scale Machine Learning infrastructure that powers our Search ranking models
  • Natural Language Processing to understand text content on Airbnb platform, including reviews, descriptions and interactions between users on our marketplace
  • Identifying suspicious transactions and malicious users for Trust and Safety
  • Determining the optimal pricing strategies to help our Hosts effectively manage their listings and achieve their revenue goals
  • Modeling demand and supply situation in real time to optimize the overall market efficiency and give valuable insights to the Hosts
  • Clustering of users and listings to enable more intelligent matching
12

Lead Machine Learning Software Engineer Resume Examples & Samples

  • Lead the full machine learning system implementation process: generating training data, model design, feature selection, system implementation, and evaluation
  • Design and develop scalable recommendation platform that can be used by various systems/application
  • Design and evaluate novel approaches for handling large scale data analyses and extract relevant information
  • Apply data-mining, machine learning and/or graph analysis techniques for a variety of modeling and relevance problems involving users and their interests in various content types
  • Collaborate with Engineers, QA, Product and Operations teams to architect and develop strategic and tactical solutions in the recommendation domain
  • Provide technical leadership and mentoring to other team members.Participate in cutting edge research in machine learning applications
  • BS/BA degree in Computer Science, Statistics, or related field, or equivalent work experience required
  • Expert knowledge developing and debugging in Java on Unix and/or Linux
  • 7+ years of full software development lifecycle experience
  • Strong background in machine learning and data mining with a broad understanding of supervised and unsupervised learning methods (such as Regression, Decision Tree, Collaborative Filtering, PCA, Clustering, etc.)
  • Strong mathematical skills with knowledge of statistical methods
  • Extensive experience working with large data stores
  • Understanding of content recommendation, personalization, and real-time data-mining
  • Strong collaborative skills and the ability to work with team members from multiple roles to inform, influence, support, and execute our product decisions and launches
  • Ability to mentor other team members and contribute to a collaborative team environment
  • Passion for solving the world’s toughest problems, and the smarts to actually solve them
  • Extensive experience building large-scale server applications is a plus
  • Experience with Open source framework such as Hadoop, Hive, Spark, or Oryx is a plus
13

Machine Learning Internship Resume Examples & Samples

  • Work with the team in generating training data, model design, feature selection, system implementation, and evaluation
  • Assist in designing and developing a scalable recommendation platform that can be used by various systems/application
  • Apply machine learning and/or graph analysis techniques for a variety of modeling and relevance problems
  • Participate in cutting edge research in machine learning applications
  • Relevant knowledge of machine learning and data mining concepts with an understanding of supervised and unsupervised learning methods (such as Regression, Decision Tree, Collaborative Filtering, PCA, Clustering, etc.)
  • Experience developing and debugging in Java on Unix and/or Linux
  • Experience building large-scale server applications
  • Experience with Open source framework such as Hadoop, Hive, Spark, or Oryx
  • Experience working with large data stores
14

Software Engineer, Machine Learning Resume Examples & Samples

  • Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models
  • MS degree in Computer Science or related quantitative field with 5 years of relevant experience or Ph.D degree in Computer Science or related quantitative field
  • Experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, large-scale data mining or artificial intelligence
  • Experience with Hadoop/Hbase/Pig or Mapreduce/Sawzall/Bigtable
  • Expert knowledge developing and debugging in C/C++ and Java
  • Experience with scripting languages such as Perl, Python, PHP, and shell scripts
  • Experience with filesystems, server architectures, and distributed systems a plus
15

Master Thesis Speech Recognition & Machine Learning Resume Examples & Samples

  • M.Sc. student, preferably in computer science, electrical engineering, engineering physics or similar
  • Courses within Signal Processing, Video & Speech processing, Machine learning is an advantage
  • Further proficiency in C and Matlab is required
16

Senior Machine Learning Resume Examples & Samples

  • 3+ years in Natural language processing or Machine learning
  • 1+ years of OOD experience
  • Able to apply NLP theory to practical problems
  • Able to lead projects from an idea to production deployment
17

Watson Software Developer Text Analytics & Machine Learning Resume Examples & Samples

  • Experience in Java or C++
  • Proven foundation in core CS competencies such as data structures, algorithms and software architecture
  • Formal knowledge with natural language processing, text mining and machine learning algorithm implementation
  • Preferred Experience: Knowledgeable in development or use of ontologies such as Unified Medical Language System (UMLS), Financial Industry Business Ontology (FIBO) or Web Ontology Language (OWL), or familiarity with Resource Description Framework (RDF)
  • Preferred Experience: knowledge with machine learning technologies such as SPSS or Apache Mahout
  • Proven communication skills and drive to get things done
  • Demonstrated foundation in scripting fundamentals such as Unix command-line, regular expressions, file manipulation, etc
  • Demonstrated foundation in core CS competencies such as data structures, algorithms and software architecture
  • Experience working in a Linux development environment
18

Machine Learning Resume Examples & Samples

  • Masters studies in algorithms and/or machine learning
  • Comfortable working in Unix environments ·
  • A general interest in computer and network security
  • Self-driven and well structured
  • Fluent in written and spoken English
19

Data Engineer, AI / Machine Learning Resume Examples & Samples

  • Work on a wide variety of problems in search/information retrieval, natural language processing, unsupervised and supervised learning problems, crowd sourcing, and data enrichment
  • Using quantitative research, you will help identify, design and implement machine learning models that help enrich Autodesk’s data improving our evidence based decision making
  • Working with a team of developers you will be integral to building full stack internal applications that are consumed throughout Autodesk
  • Have the opportunity to become expert in new technology and help the team remain current in its practice. We currently use Spark, Hive, Python, R and various NoSQL technologies with the goal of using the most appropriate tool for the job. It is most important that you are a strong programmer with a growth mindset who can help round out the expertise in the team
  • The team is motivated by learning and we want a creative mind with who we can work together to find solutions to difficult problems
20

Automated Driving Engineer Machine Learning Resume Examples & Samples

  • Ph.D. in Electrical Engineering, Computer Science, or similar fields, with five years of equivalent experience
  • Experience with computer vision, machine learning, DNNs, and Numerical Optimization
  • Experience with algorithms such as motion control, image processing, simultaneous localization and mapping, geospatial location, rendering 3D data, computer graphics, etc
  • Knowledge of 3D coordinate frames and transformations, vector mathematics, matrix algebra, probabilistic inference and modeling, etc
  • Experience in multiple computer hardware, operating systems and tools, e.g., embedded microcontrollers, GPUs; Windows, UNIX, Linux; git, Make, subversion glibc, gcc, bash, etc
  • Proficiency in writing optimized code in multiple contemporary computer programming languages, e.g., C/C++, PERL, Python, Java, OpenGL, MATLAB/Stateflow/Simulink, etc
  • Experience with sensing systems such as cameras, radar, lidar, GPS, IMUs, etc
  • Experience with system requirements, testing, validation, software release
  • Experience with the CUDA platform
  • Expert experience in designing and building state of the art feature detectors and trackers
21

Machine Learning Researcher Resume Examples & Samples

  • Semantic text mining or natural language processing
  • Spark, Hadoop or other MapReduce implementation experience
  • Experience with database technologies such as SQL or NoSQL
  • Experience developing component using IBM Watson services and APIs
  • Delivered models used for Recommender Systems
  • Experience with Cloud Based Data Management such as Cloudant
22

Machine Learning & Artificial Intelligence Engineer Resume Examples & Samples

  • To design and build an autonomous system to carry out the below activities
  • Programming knowledge; specifically techniques for mining large amounts of unstructured data, text analytics and natural language processing
  • Knowledge of machine learning and practical applications of artificial intelligence
  • Experience in piecing together disparate sources of information to create actionable intelligence
  • Ability to rapidly summarise large amounts of information and give presentations
  • Knowledge of data warehousing and cloud services, e.g. AWS
  • Ability to work within a team split across countries and manage own workload without supervision
  • Ability to travel occasionally as required
  • LI-MM2
23

Machine Learning Research Engineer Resume Examples & Samples

  • PhD in Computer Engineering, EE or similar field
  • Smart and versatile New Grads with a big appetite for making milestone changes in technology
  • Being a tinkerer and experimenter with ideas that contribute towards real change
  • Masters in Computer Science or related technical field. Computer Science fundamentals: data structures and algorithms. Desired proficiency in one of these programming languages ­ Java, Python, C, C++, C#
  • Strong analytical skills including the ability to define problems, collect data, establish facts and draw valid conclusions
  • Excellent collaboration and time management skills
  • Ability to communicate and promote your ideas
  • Skilled in translating research findings into realizable solutions
  • New or recent Ph.D. in Computer Science or related technical field prior machine learning experience
  • Experience with Agile software development process
  • Understanding of the mobile device landscape
  • Experience in Android or IoS software development
24

Master Thesis on Analytics & Machine Learning for IoT Resume Examples & Samples

  • Bachelor degree in computer science, or engineering
  • Programming skills in Java, Python, Matlab, R
  • Data mining, machine learning knowledge
  • Signal processing, pattern recognition, nature language processing
  • Innovative and creative thinking
  • Passionate to win
  • English written and spoken
25

Machine Learning for Autonomous Vehicles Research Engineer Resume Examples & Samples

  • Master’s Degree in Computer Science, Electrical Engineering, Robotics or Statistics
  • 1+ year of experience developing machine learning models such as using deep learning methods for classification and regression
  • PhD in Computer Science, Electrical Engineering, Robotics, Statistics, or related field
  • Hands on experience with at least one of the following tools: Caffe, TensorFlow, Theano, or a similar deep learning toolkit
  • Experience with Python, Java, C/C++ or other related languages
  • Experience with Matlab/Simulink
  • Experience with image processing and computer vision
  • Experience in developing control and optimization algorithms
  • Comfortable working in an environment where problems are not always well-defined
26

Machine Learning R&D Engineer Resume Examples & Samples

  • Hadoop or other MapReduce implementation experience
  • Ability to build and interpret probabilistic models of complex, high-dimensional systems
  • Solid programming experience utilizing Java, C, C++ or Python
  • Delivered models in high-stakes information retrieval and statistical analysis, e.g. Bioinformatics, Fraud Detection, Education
  • MS in Computer Science, Artificial Intelligence, Machine Learning, or related technical field
  • Delivered models in high-stakes information retrieval and statistical analysis, e.g. Bioinformatics, Fraud
27

Technical Sourcer, Machine Learning Resume Examples & Samples

  • Work closely with Recruiters and hiring managers to deeply understand technical requirements of the role, the function and how it fits into the organization
  • Team with Coordinators and Recruiters to manage an efficient model of operation
  • Strategize different ways to build talent pipelines and execute on tactical research, referral generation, events and sourcing campaigns
  • Find, engage and activate passive candidates through the use of Boolean, LinkedIn and alternative search techniques
  • Screen resumes and interview candidates to determine fit
  • Regularly track pipeline activity to share with internal stakeholders
  • Recommend and drive improvements that impact local pipeline areas
  • Embody Facebook’s culture: Be Bold, Move Fast and Focus on Impact
28

Software Engineering Lead-analytics & Machine Learning Resume Examples & Samples

  • Determines specifications, then plans, designs, and develops the most complex and business critical software solutions, utilizing appropriate software engineering processes-either individually or in concert with project team
  • Designs and produces detailed technical architecture guidelines and standards for the use of relevant core technologies and protocols
  • Researches and maintains knowledge in emerging technologies and possible application to the business
  • Assists in troubleshooting the most difficult and mission-critical technical problems
  • Acts as an internal consultant, advocate, mentor and change agent
  • Typically possesses 5 to 7 years of relevant work experience
  • Experience in the following technologies
29

Software Engineer Machine Learning Resume Examples & Samples

  • Attractive collective health care insurance package with considerable reduction rates
  • Solid Pension Plan of which 70% of the premiums is paid by Elsevier
  • Profit share or bonus plan subject to the company annual results
30

Senior Machine Learning Expert Resume Examples & Samples

  • University graduate (Master of PhD level) computer science, Artificial Intelligence, computational linguistics or an associated area
  • Minimum of 5 years of experience in Machine Learning or a similar role
  • Solid software engineering skills and experience including coding, testing, troubleshooting and deployment. With experience using key languages like JVM-based languages (Java, Scala, Clojure), C++ and Python
  • Large scale data processing experience using Spark or Hadoop/MapReduce
  • Solid Experience in machine learning including supervised or unsupervised learning techniques and algorithms (e.g. k-NN, SVM, RVM, Naïve Bayes, Decision trees, etc.)
  • Familiarity with cloud computing (AWS)
  • Experience with git or a similarly distributed revision control system
  • You think a working proof-of-concept is the best way to make a point
  • Relevant certificates (Spark, Hadoop / Cloudera or CBIP) is a plus
  • Experience working with a variety of stakeholders at the mid and senior management level and ability to coach junior members
  • Solid Pension Plan, with a choice between a collective pension plan an individual pension plan
  • You can participate in the convertible personnel bond scheme
  • Flexible working arrangements
  • Reductions to several personal insurance packages due to our collective agreements
  • Additional benefits, such as memberships to Elsevier’s magazines, discount on books and in-house sport facilities
  • Various social responsibility programs, channeling knowledge and strengths to help communities around the world improve education, science, health care and protect the environment
31

Automated Driving Research Engineer Vision & Machine Learning Resume Examples & Samples

  • Design effective and efficient feature detection and tracking systems
  • Design, train and evaluate various machine learning systems for use in object detection and semantic scene understanding
  • Develop new ways to use image features or tracking to improve the mapping and localization algorithms
  • Evaluate and compare deep learning algorithms for specific applications and related tasks to improve performance, training, and suitability for embedded applications
  • Maintain close contact to the scientific and industrial community in machine learning and perform scouting and assessment of new approaches
  • Present results for internal management and at external venues such as conferences
  • Ability to carry out independent research and lead projects
  • Ph.D. in Engineering, Natural Sciences or related technical fields
  • 1+ years of experience in multiple contemporary computer programming languages, e.g., C/C++, PERL, Python, Java, OpenGL, MATLAB/Stateflow/Simulink
  • 3 or more months hands-on experience in Deep Learning or Machine Learning
  • Computer vision, machine learning, DNNs, and Numerical Optimization experience
  • Algorithms such as motion control, image processing, simultaneous localization and mapping, geospatial location, rendering 3D data, computer graphics experience
  • Knowledge of 3D co-ordinate frames and transformations, vector mathematics, matrix algebra, probabilistic inference and modeling, etc
  • Familiarity with existing deep learning libraries (e.g. Torch, Theano, Caffe, PyBrain, Neon )
  • Sensing systems such as cameras, radar, lidar, GPS, IMUs experience
  • Possess strong oral and written language skills
32

Lead Machine Learning Researcher Resume Examples & Samples

  • Lead the projects and provide technical execution to design of machine learning algorithms/solutions to solve industrial problems at GE
  • Determine methodologies needed; apply such methodologies (e.g. graphical models, neural nets, CART, Bayesian methods, etc.) on monitoring, classification, prediction, controls, bioinformatics, computer vision and related research domains
  • Define data needs, evaluate data quality, perform and critique appropriate statistical analyses using software such as R, Python, SAS, MATLAB, and/or Splus. Explore, determine & develop technical approaches to be used and apply them on major challenges
  • Establish synergies with other GE research labs and software engineering team to drive Industrial Internet vision utilizing big data, domain knowledge and modern machine learning and artificial intelligence techniques
  • Interface closely with GE Business counterparts to understand/define requirements, domain knowledge/models, and data needs
  • Effectively communicate technical analysis and results
  • Support proposals to respond to internal and external funding opportunities
  • Doctorate degree in Computer Science, Mathematics, Applied Statistics, Operations Research or in Engineering
  • Foundation in theories underlying machine learning techniques
  • At least 3 years of experience in applying theoretical or experiential knowledge on machine learning & artificial intelligence to solve real world problems
  • Experience in developing machine learning packages with modern programming languages
  • Legal authorization to work in the U.S. is required. We will not sponsor individuals at the Masters or BS level for employment visas, now or in the future, for this job opening
  • Must be willing to work out of an office located in San Ramon, CA
  • You must submit your application for employment on the careers page at www.gecareers.com to be considered
  • Experience with designing and prototyping algorithms on industrial data
  • Strong knowledge in text analytics area
  • Experience in applying machine learning to industrial problems
  • Programming skills/ experience in high level languages like Java, .NET, Hadoop and Cloud computing
  • Knowledgeable with relational databases & SQL concepts. Compute platforms like Matlab
  • Interest/Experience in large data sets, cloud based architectures and deployment frameworks for machine learning algorithms. Open source efforts in machine learning
  • Strong analytical skills, with demonstrated reputation including publications / development / deployment experience
  • Ability to take initiative and deliver tangible results under deadlines
  • Ability to work under uncertainty
  • Flexibility of working across all functions/levels as part of a team
33

Software Architect Machine Learning Resume Examples & Samples

  • Evolve the current architecture to excel in machine learning, AI and Data analytics approaches
  • Gathering business requirements with clients in visualization sessions to plan, design and implement mobile applications, web applications, database designs, network architecture and hybrid solutions
  • Keep the solution on the cutting edge of IT security to protect our data
  • Work together with internal stakeholders to define new services and plan development sprints accordingly
  • Create and execute practical research to understand the voice of the customer in solving problems
  • Experienced in using- Node JS, AngularJS, MySQL, SQL, Azure, AWS, NoSQL, MapReduce, Hadoop, Power BI and Azure Data factory and Bootstrap
  • Strong understanding of Microsoft technology stack and the ability to match them to client processes to meet their business needs
  • Master in Computer Science
  • Highly motivated employee with the ability to work on multiple tasks with a high degree of flexibility in a fast-paced environment
  • Proven ability to provide oversight for multiple development projects simultaneously, and resolve high level execution issues across company functions
  • Self-starter who can identify opportunities based on other industries and analogous businesses
34

Machine Learning SDE Resume Examples & Samples

  • Relevant software design and development in C++, C# or Java
  • At least a Bachelor’s Degree in Computer Science, Computer Engineering, or equivalent
  • Strong background in machine learning with application in: medical image analysis or computer vision
  • Excellent production-grade programming skills
  • Strong background in math and statistics
  • Outstanding technical problem solving and debugging skills
  • Effective communication skills and an entrepreneurial spirit to succeed in a fast-paced team
  • Experience with OpenCV libraries, ITK/VTK, CUDA, deep learning
  • Experience with V1 products or start-up environment
35

PhD & Postdoctoral Recruiter Machine Learning Resume Examples & Samples

  • Manage the full-cycle recruiting process for PhD new graduates, interns and postdoctoral researchers with expertise in Machine Learning
  • Act as a resource to PhD interns throughout their internship including on-boarding, performance evaluation, and conversion process Innovate on ways to build a talent pipeline from top PhD programs in machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence
  • BA/BS degree with 3+ years of experience recruiting engineering candidates
  • Passionate about Facebook and able to speak to our technology/industry
  • Broad knowledge of programming languages, web technologies, software development process and emerging technologies
  • Experience with managing nuanced programs
  • Ability to travel during peak recruiting cycles
36

Machine Learning Researcher Resume Examples & Samples

  • PhD or PhD candidate in machine learning, computer science, statistics, or a related field
  • Superb analytical and quantitative skills, along with a healthy streak of creativity
  • Demonstrated ability to conduct independent research utilizing large data sets
  • Passion for seeing research through from initial conception to eventual application
  • Curiosity about financial markets
  • Strong scientific programming in Python, R or Matlab
  • Empirical, detail-oriented mindset
  • Sense of ownership of his/her work, working well both independently and within a small collaborative team
37

Machine Learning Resume Examples & Samples

  • Professional work experience as a Data Scientist on projects with recent hands-on experience working with data mining tools like SAS, SPSS, R, Python or S+ is required
  • Experience working on distributed computing platforms such as those based on Apache Hadoop and cloud services like Amazon’s EC2 makes it easier and cost-effective
  • Understanding of probability, statistics, algorithm development and the common libraries/packages/APIs used in this field (e.g. Caffe, scikit-learn, Theano, Spark MLlib, H2O, TensorFlow etc)
  • Experience advising customers on architectures meeting industry standards
38

Senior Engineer, Machine Learning Resume Examples & Samples

  • Build and implement scalable, enterprise grade machine learning applications to provide data driven insights to end users including sales reps, sales operations, pricing, legal finance, and executive managers
  • Design and develop architecture for building and deploying scalable cloud based predictive and prescriptive intelligence solutions such as recommender systems
  • Collaborate with data scientists, software engineers, product managers and customers to identify best machine learning solutions to optimize the revenue funnel
39

Machine Learning Expert Resume Examples & Samples

  • Understand the business problem, identify the key challenges, formulate the machine learning problem and prototype solutions
  • Debug and correct your data assumption through AB testing
  • Document the technical details of your work
  • Collaborate and brainstorm with other team members
  • Assess the methodological and functional pros and cons of implementing third-party products versus building an in-house system when facing a business problem
  • Collaborate extensively with stakeholders, program management, and software development team members to ensure that solutions meet business needs, permit valid inferences, and have functional feasibility
  • Passion about solving real world machine learning problems
  • Strong publication record at top machine learning conferences, (ICML, KDD, WWW, RecSys, ACL, ICDM)
  • PhD in one of the machine learning related fields: deep learning, graphical modeling, learning to rank, data mining and web mining. Postdoctoral work highly desirable
  • Strong programming skills, at least being efficient with one low level language, c++/java, and one of scripting languages python/R/scalar
  • Experience with Torch, Tensorflow
  • Experiences with distributed computing (Hadoop/Spark)
  • 5+ years’ experience of working with real data (data cleaning, data visualization and modeling) (can include time in academia/research)
40

Machine Learning & Artificial Intelligence Leader Resume Examples & Samples

  • Engage business leaders to discuss the business benefits that ML and AI can provide
  • Identify opportunities to leverage ML and AI technology to drive tangible business value
  • Create broad business insight for our enterprise using ML and AI tools
  • Define the Machine Learning and Artificial Intelligence technology strategy
  • Lead the direction for technology investments in the ML and AI areas
  • Create and manage use cases to apply ML and AI concepts
  • Evangelize ML and AI throughout the enterprise and in the market
  • Create a roadmap to continually enhance our ML and AI capabilities
  • Advanced degree in Data Science, Computer Science, Statistics, Applied Mathematics or related quantitative field
  • Demonstrated expertise in Machine Learning (ML) and Artificial Intelligence (AI) concepts
  • Deep knowledge of ML, AI, Big Data and Analytics platforms and tools
  • Track record of success applying ML and AI concepts to business opportunities and/or problems
  • Proven ability to explain the value of ML and AI to business leaders
  • 10 + years of experience in statistical analysis and predictive analytics
  • Executive with a minimum of 15 years of demonstrated progressive career accomplishments
  • Proven experience driving large-scale technology initiatives across complex, global organizations
  • Demonstrated executive leadership qualities, including presentation, influencing and negotiation
  • Experience in strategic planning
  • Track record of success leveraging relationships and leadership skills to get things done through matrixed teams
  • Healthcare industry
  • Publications and conference presentations in the Data Science space
  • IBM Watson
  • SAS Advanced Analytics and modeling
  • Hadoop
  • Python
  • DSSTNE
  • TensorFlow
  • Azure
41

Machine Learning Senior Researcher Resume Examples & Samples

  • Independently design and undertake new research as well as partner in a team environment across organizations
  • Develop topic descriptions for creative and innovative approaches to solving challenges
  • Provide leadership & organization to other team members
  • Design and implement secure, scalable, and fault-tolerant solutions across a distributed architecture, with the objective of researching and developing machine learning approaches, especially deep learning, applicable across multiple domains
  • Track record of relevant publications in peer-reviewed conferences and journals
  • Knowledge of state-of-the-art methods coupled with the creativity and intelligence to advance beyond them
  • Leadership abilities necessary to lead projects
  • Strong data analysis skills using R or a comparable platform, and one programming language, e.g. Python, Perl, C/C++, Java
  • The ability to obtain and maintain a TS/SCI security clearance
  • Advanced degree in machine learning (Ph.D highly desired) or a related discipline, such as artificial intelligence. 8 years of overall experience is preferred
  • PhD in Machine Learning or Artificial Intelligence with publication track record
  • Familiarity with existing deep learning libraries (e.g., CUDA, Caffe, Theano, Torch, Nvidia Digits)
  • Prior experience with a few of the following models: Logistic Regression, Linear Regression, Support Vector Machines, (Deep) Neural Networks, Hidden Markov Models, Conditional Random Fields, Latent Dirichlet Allocation
  • Experience in GPU development (including GPGPU iOS)
42

Machine Learning & Data Analytics Research Researcher Resume Examples & Samples

  • Work within a distributed team of scientists and engineers at ATL, other Lockheed Martin facilities, outside companies, and universities to perform research in machine learning, human systems integration, human performance augmentation, and human-system teaming, as well as perform modeling, simulation, and analysis
  • Research will focus on generating approaches that can be used to enhance Lockheed Martin’s goal of enabling human-system teaming and to making leaps ahead in human-system effectiveness
  • R&D could take place in the areas of machine learning, human-systems integration, human-robot interaction, performance monitoring, or adaptive training
  • A minimum of 1 year research and development experience in a relevant area, including co-op or internships
  • Teamwork and research collaboration skills
  • Demonstrated successful research project leadership
  • Experience in research studies surrounding human effectiveness
  • Ability to travel occasionally
43

Machine Learning & Data Analytics Researcher Resume Examples & Samples

  • Typical customers include DARPA, IARPA, ONR, AFRL, ARL, commercial companies, Lockheed Martin business units, and Advanced Technology Labs proper (via internally funded basic and applied research programs)
  • Applicants are expected to have ideas for research and have a desire to see these research concepts funded
  • Applicants selected will be subject to a government security investigation
  • Degree in Computer Science, Cognitive Science, Artificial Intelligence, Cognitive Psychology, Information Science, Neuroscience, Psychology, Neurology, or related discipline with a focus on design, development, application, and evaluation of machine learning and advanced data collection, statistics and analysis methods. These methods will be applied to advance human-machine interaction technologies to attain high levels of human-system performance
  • Experience in defining research objectives, preparing and presenting research plans and results to management and customers, developing research proposals, and planning, implementing, and tracking of R&D projects
  • Ability to support proposals to win DoD-funded contracts, team with university researchers in the human factors and human-system integration domains, and collaborate with small and medium enterprise companies
  • Must have the ability to obtain a U.S. Secret Security clearance that requires U.S. citizenship. Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information
  • Knowledge of current state of the art in machine learning techniques, data analysis, statistics, experimental design, and familiarity with applying these methods to the human sciences
  • Verbal and written skills and ability to present complex technical issues
  • M.S. or equivalent research experience in one of the above technical disciplines; a background in signals processing is a plus
  • Experience in transitioning technology from the research environment to users
44

Machine Learning System & Performance Architect Graduate Intern Resume Examples & Samples

  • Background in hardware architecture (pipelining, memory hierarchies, DRAM characteristics, power and area estimates, etc.)
  • Experience developing optimized and parallelized machine learning kernels or applications for at least one hardware target, such as multicore Intel CPUs/SSE/AVX, GPUs, or custom accelerators
  • Ph.D., or experience in a research environment such as a national lab, or 4+ years industry experience
45

Applied Machine Learning Resume Examples & Samples

  • Directly assist and support Government leadership in all technical aspects of managing multiple research and development (R&D) projects and contracts, to include providing expert technical advice and insights about relevant technologies
  • Analyze technical data deliverables and publications from development contractors to assess the significance of their results and identify technical issues
  • Provide coordination and technical oversight of testing and evaluation of Program efforts / deliverables by development contractors, to include analysis of data and results
  • Provide independent review and summary of current technical literature, including surveys and summaries of relevant Government, academic, and contracted research
  • Provide technical and programmatic support for emerging concepts, studies, projects, technologies and other work in related areas
  • Draft summary briefings and reports and support periodic reviews and impromptu reporting requirements
  • Analyze and resolve financial and programmatic issues in collaboration with a program analyst
  • In addition to the level of effort support to the program, support may be required for seedling projects and other program related activities
  • College Park, MD
  • Bachelors Degree
  • 14 years of work experience
  • At least 5 years of experience in applied machine learning
  • At least 3 years of experience with computer vision and image processing
  • At least 3 years of experience with electro-optical and multi-spectral data
  • At least 1 year of experience with synthetic aperture radar
  • At least 1 year of experience with satellites
  • Active TS SCI w/Poly clearance
  • PhD with 9 years of experience
  • At least 5 years of experience working with satellites
  • At least 5 years of experience working with synthetic aperture radar
  • Experience with transition partners
  • Experience with the Intelligence Community
  • Experience with test and evaluation teams
  • Experience working on advance R&D programs
46

Machine Learning Researcher Resume Examples & Samples

  • Conduct research in the field of deep learning applied to text analysis
  • Efficiently implement algorithms and run experiments on real data
  • Integrate algorithms as software components in a complex development environment
  • PhD in computer science. Outstanding MSc graduates may also apply
  • Strong background in machine learning and deep learning
  • Hands on experience in writing code
  • Innovative thinking, creative and capable of thinking
  • Experience in Java and/or Python
  • Excellent academic track record in machine learning and/or natural language processing research
  • Authorized to work in Israel or hold an applicable work permit required by the Israeli law
  • Excellent programming and engineering skills
  • Good research and self-learning skills
  • Experience in scalable and parallel big data platforms and algorithms
47

Principal Engineer Machine Learning Resume Examples & Samples

  • Together with domain expert, identify opportunities to apply Machine Learning/ Artificial Intelligence technologies for network performance analysis and optimization. To gain insights from data about what’s happening, why happening and what actions to take
  • As a lead investigator, propose and direct technology projects in solution architecture and key algorithm design and verification
  • Achieve technology breakthrough and innovation by combining technology insights and business opportunities. To monitor the progress and industrial trends; propose technology strategy and roadmap to support the decision making of executives
  • Organize and participate in global conference/events to promote Huawei technology visibility and branding
48

Software Engineer, Machine Learning Resume Examples & Samples

  • Work with Data Scientists and Product Managers to frame a problem, both mathematically and within the business context
  • Perform exploratory data analysis to gain a deeper understanding of the problem
  • Construct and fit statistical, machine learning, or optimization models
  • Write production modeling code; collaborate with Software Engineers to implement algorithms in production
  • Design and run both simulated and live traffic experiments
  • Analyze experimental and observational data; communicate findings; facilitate launch decisions
  • M.S. or Ph.D. in Statistics, Operations Research, Mathematics, Computer Science, or other quantitative field
  • 2+ years professional or research experience
  • Passion for solving unstructured and non-standard mathematical problems
  • End-to-end experience with data, including querying, aggregation, analysis, and visualization
  • Proficiency with Python, or another interpreted programming language like R or Matlab
  • Willingness to collaborate and communicate with others to solve a problem
49

Machine Learning Researcher Resume Examples & Samples

  • As a part of the Research Innovation Team with the DSCoE, you will drive the development of solutions for complex data science challenges across the organization. This includes working with diverse data sets and across scientific domains. Examples range from digital agriculture and synthesizing large, spatial and spatial-temporal datasets to the analysis of genomic data
  • Design, conduct, and report results from prototype or proof-of-concept research projects that focus on 1) new tools, methods, or algorithms, 2) new scientific domains or application areas, or 3) new data sets or sources
  • Partner with diverse research groups to understand their research problems, models, product, and data needs and provide advice, coordination, and mentorship
  • Communicate results to stakeholders in various parts of the organization, including other research teams, business groups, and leadership
  • Write beautiful, robust, and well-documented research code
  • Ph.D. in statistics, computer science, machine learning, or a related field
  • Experience with using R or python for research
  • Experience developing and applying machine learning methodology for solving complex applied problems
  • Experience with developing and applying deep learning algorithms
  • Experience and interest in interdisciplinary research
  • Excitement to learn new topics, explore new datasets, and use new tools
  • Drive to solve problems, meet deadlines, and build whatever is necessary along the way
  • Strong communication and collaboration skills
50

Cloud Applications Developer for Machine Learning Incubation Team-singapore Resume Examples & Samples

  • Performing quality assurance tasks
  • Immerse yourself quickly into new topics, terminology and development tasks
  • Degree in Computer Science or related field
  • Track record of developing novel cloud applications and/or systems
  • Proficiency in handling of huge data sets and building scalable solutions
  • Experience with cloud solutions such as Cloud Foundry, OpenStack, AWS, Terraform, etc
  • Experience in end-to-end development stack with programing languages such as Java, Python, C++; Databases such as MongoDB, Cassandra, PostgreSQL, Redis; Libraries / Tools such as Mesosphere, Spark, Chronos, Kafka, Jenkins, Sonar, JMeter; Frontend development skills such as HTML5, JavaScript, Bootstrap, AngularJS etc
  • Ability to visualize work results in a clear and compelling way
  • Strong desire to overcome obstacles and make your work benefit SAP's customers
  • Excellent written and communication skills in English language
51

Developer for Machine Learning Resume Examples & Samples

  • Apply relevant research domains with the ability to synthesize a wide range of requirements for analytical database management system
  • Modeling data mining and recommendation solutions
  • Designing software architecture to best exploit modern parallel processing
  • Work closely with architects, UX designers, web developers, and quality specialists to design and implement cutting edge products for database management system
  • Work with Agile Software Development methodology
  • Ensure deliverables meet QA standards, specs, and client expectations
  • Work closely with a distributed team over several international locations
  • Knowledge on machine learning and deep learning research
  • Extensive experience on database management systems
  • Knowledge developing and debugging in C++
  • Lots of experience with Linux/UNIX systems and the best practices for deploying applications to those stacks
  • Practical experience in technical writing and creating documentation would be considered an advantage
  • Willingness to learn and flexibility to switch to new subject matters quickly
  • Excellent team player, self-motivated, with strong communication skills
  • MS/ PHD degree in Computer Science or related field
  • Proficiency in English language; daily communication will be done in English
52

Developer for Machine Learning Platform Resume Examples & Samples

  • Build platform services and tools to support efficient creation and delivery of machine learning services
  • Work in a diverse team applying Scrum and agile development
  • Collaborate with remote location teams
  • Master’s degree in computer science, engineering or equivalent education
  • Proficiency in one or more of Java, Python, Node.js, Scala, Go, or Rust
  • Experience with cloud-based development using Cloud Foundry, Docker, AWS, Azure or other container/PaaS environments
  • Extensive experience in REST API implementation
  • Exposure to microservice architectures, development and operations
  • Hands-on experience on continuous integration and build tools like Jenkins, Travis CI
  • Experience with Test-Driven Development (TDD)
  • Agile/scrum experience
  • 3+ years of experience in relevant roles
53

Business Developer for Machine Learning Incubations Resume Examples & Samples

  • Engage with customers to validate the fit for co-innovation projects for existing machine learning use cases
  • Engage with customers requesting co-innovation projects on machine learning to derive tangible new use cases
  • Investigate and shape market and customer perspectives for the given use case with the aim to identify the most promising
  • Work with machine learning and industry experts to validate feasibility and viability of potential solutions
  • Accompany, monitor and supervise product development and release processes
  • Drive the commercialization and market entry through reference customers
  • Master’s degree in business administration, engineering or equivalent education
  • Proven track record in business development and Go-To-Market of new products
  • Ability to present to senior management and to executive level
  • Excellent English and German language skills
  • At least 3 years of experience in relevant roles
54

Developer for Machine Learning Applications Resume Examples & Samples

  • Work through user given problems from beginning to end:translating research insight into adequate user experience & software concepts for SAP’s customers
  • Degree in computer science or related field; Master’s degree preferred
  • Ability to prototype what you design & conventionalize
  • Excellent communicator of design & concept work and your rationale behind proposals to internal stakeholders and customers
  • Intuition and understanding of Design Thinking methodologies and design principles
  • Strong visualization and presentation skills
  • Knowledge of full stack software development with the respective technologies used at SAP (Java, JavaScript, ABAP, Python & SQL)
  • Self Starter and team player who can deeply collaborate with team members and stakeholders
  • Excellent English and German communication and language skills
55

Senior Engineer Machine Learning Resume Examples & Samples

  • Ad server algorithm development for performance behavioral targeting & speed
  • Enable large video advertisers to run efficient marketing campaigns that exceed aggressive ROI goals with precision and efficiency
  • Implement ad targeting models that use advanced statistical and machine learning techniques
  • Analyze, design and implement targeted relevance algorithms
  • Develop and implement algorithms that work with large scale data to forecast and optimize return on online advertising
  • Collaborate with product management and engineering to explore tradeoffs of performance and accuracy with alternate statistical approaches
  • MS/PhD in Computer Science, Statistics or related fields is required
  • 7+ years of hands on experience in machine learning using large & variant datasets
  • Must have strong hands on experience in Python
  • Proven track record in independently developing complex machine learning based systems, utilizing multiple machine learning frameworks and techniques for optimal accuracy and performance
  • Must have solid understanding of statistical modeling/machine learning/ data mining/ recommender systems concepts on larger data
  • Demonstrated ability to deal with very large datasets
  • Strong knowledge of data structure, modeling, replication and distributed data/object relational database mapping
  • Strong analytical quantitative and problem solving ability
  • Experience with architecting, building and deploying reliable algorith-ms-based ad optimization systems that work at scale
  • Experience with Python, relational databases (MySQL preferred) and Unix/Linux experience are required
  • Experience in Hadoop, Hive , Map/Reduce & programming streaming is desirable
  • Hands on experience working with Java or C++ is preferred
56

Senior Research Engineer, Machine Learning Resume Examples & Samples

  • Lead development of proprietary machine learning technologies that drive adaptive, personalized recommendation services, predictive analytics capabilities, data extraction scripts, data visualizations and other software required to support R&D
  • Work closely with scientists with expertise in diverse fields, and other partners, to transfer proof of concept systems into production at scale
  • Collaborate with data scientists to deliver valuable analytics for product and marketing teams, providing insights about customer behavior and product performance metrics
  • Identify and promote the use of new technologies, toolkits and frameworks, areas of inquiry, ways of working, methods and approaches in Computer Science, Software and Research Engineering that helps the lab continue to push the boundaries of innovation
  • Serve as outstanding model of individual and group performance. Support mentoring of less senior members of the team when needed
  • B.Sc. in Computer Science, Engineering, Applied Statistics or a related quantitative field(s). Master’s or Ph.D. degree a plus
  • Experience with machine learning and data mining in practice
  • Experience with using machine learning frameworks and toolkits such as Spark, Weka, Mahout or Hadoop
  • Familiarity with natural language processing and information search and retrieval tools like Solr, Lucene, NLTK, OpenNLP
  • Strong engineering background and a demonstrated record of success in architecting and engineering desktop- and web-based software
  • Expert grasp of Computer Science/Engineering stables such as data structures, data modeling, algorithms, distributed systems and software design
  • Expert knowledge developing and debugging in Python and/or Java
  • Familiarity with scientific programming languages like R and Matlab a plus
  • Proficiency at querying SQL and NoSQL databases and ability to build and maintain processes to pull & integrate data from various sources
  • Track record of solving ambiguous and complex technical problems
  • Be able to act independently but also create collaboratively
  • Facility with working in geographically distributed teams
  • Excellent organizational, written and verbal communications skills
  • Strong critical thinking and attention to detail
57

Master Thesis Machine Learning Resume Examples & Samples

  • Literature review, identifying relevant machine learning concepts and algorithms
  • Analyze available network traffic dataset and/or generate suitable data sets
  • Implement the machine learning concepts in prototypes
  • Analyze the performance of the new concepts and compare with existing concepts
  • MSc studies in Computer Science or similar area
  • Excellent skills in programming languages (Java, Python or Scala)
  • Excellent skills in data analytics and machine learning
  • Knowledge about big data platforms such as Hadoop and Spark
  • Like to build end to end prototypes and concepts
  • Be fluent in English
58

Software Engineer Emerging AWS Machine Learning Platforms Resume Examples & Samples

  • Bachelor’s or Ph.D degree in Computer Science or equivalent work experience
  • 10+ years professional experience in software development of multi-threaded, scalable and highly-available distributed systems
  • Experience with highly distributed, multi-tenet systems with clear state-full/state-less boundaries
  • Experience with experimentation and statistics
59

Machine Learning Software Dev Engineer Resume Examples & Samples

  • BS, MS in Computer Science with 5+ years of relevant work experience
  • Computer Science fundamentals in algorithm design, complexity analysis, problem solving and diagnosis
  • Proficiency in, at least, one modern programming language such as Java, Python, C/C++, C#, Perl
  • Communication: Can translate your thoughts to words and effectively communicate them
  • Knowledge of professional software engineering practices and best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
60

Software Development Engineer Emerging AWS Machine Learning Resume Examples & Samples

  • Bachelor’s /Master’s in Computer Science with
  • 5+ years of hands on experience in software development, including experience leading design and implementation of complex software projects
  • Proficiency in multiple scripting languages (Python, JavaScript, ruby, etc.)
  • Deep understanding of distributed systems and web services technology
  • Knowledge of Machine Learning/Deep Learning algorithms
  • Experience working with REST and RPC service patterns and other client/server interaction models
  • PhD in Computer Science or equivalent technical expertise
61

Software Engineer Big Data, Machine Learning Resume Examples & Samples

  • Develop and improve Machine Learning based systems for solving hard problems
  • Contribute to solving Machine Learning solutions for a broad variety of teams across Amazon
  • Architect, Design, and Develop services, making them more maintainable, easy to use, and operationally sound
  • Improve and extend existing applications, develop ETL logic, perform feature engineering, implement new machine learning and graphing algorithms
  • Work Hard, Have Fun, Make History
  • Bachelor's degree in computer science, computer engineering, or related technical discipline
  • 5+ years development experience
  • Solid understanding of algorithm design, problem solving, and complexity analysis
  • Proficiency in at least one modern programming language such as Scala, Java, C#, C++, C , or Ruby/Python/Perl
  • Strong design skills with understanding of common design paradigms
  • Masters degree in Computer Science
  • Expertise in Hadoop ecosystem (Spark, MapReduce, Hive, Beam, etc.)
  • Core competencies in Scala, Java, REST, and JSON
  • Deep understanding of web services software architectural and design issues
  • Experience with cloud computing technologies
62

Software Development & Machine Learning Internship Resume Examples & Samples

  • Use computer vision and machine learning techniques to create scalable solutions for Amazon problems
  • Implementation and evaluation of highly innovative computer vision algorithms
  • Working closely with research teams
  • Tracking general business activity and providing clear, compelling management reporting on a regular basis
  • A MS in Computer Science, Statistics, Operational Research or in a highly quantitative field
  • 3+ years of C++ or Python development experience
  • Communication and data presentation skills
  • 1+ years of industry experience in software engineering
  • Basic Image Processing and Computer Vision Knowledge
63

Manager, Machine Learning Resume Examples & Samples

  • Deep theoretical knowledge and hands-on experiences in speech recognition, natural language understanding and machine learning. Breadth of knowledge in multiple speech and natural language areas
  • Solid research track record with peer-reviewed publications in top academic conferences and journals in the related areas
  • PhD
  • Project management experience desired for working on cross-functional projects
  • Experience in building complex, real-time software systems involving speech recognition & natural language algorithms that have been successfully delivered to customers, preferably on mobile devices
  • Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
  • Ability to rapidly prototype and evaluate customer applications and interaction methodologies
64

Software Dev Manager, Machine Learning Resume Examples & Samples

  • Working with cross functional teams within Amazon including software development, user experience design, machine learning scientists, technical program management, and product management to develop detailed and creative solutions to complex problems, while keeping a watchful eye on timelines and costs
  • Develop an understanding of the recommendations ML space to represent the team across many stakeholders
  • Strong analytical and quantitative skills; strong bias towards data-driven decision making
  • Implementation orientation; demonstrated ability to translate strategic differentiators into detailed product requirements
  • Technical fluency; comfort understanding and discussing architectural concepts, schedule tradeoffs and new opportunities with technical team members
  • Communicating with senior leadership about product direction, launch strategy, key success metrics and new opportunities
  • BS in Computer Science, Mathematics, or a related field
  • 3+ years of coding experience in Java, C++, and Perl
  • 2+ years of relevant experience as a Software Development Manager
  • Delivered features for at least one large scale production system
  • Experience managing efforts in Unix/Linux environments, distributed systems and/or applications of Machine Learning technologies
  • MS in Computer Science, Mathematics or a related field and/or 5+ years software development experience
  • 5+ years of relevant experience as a software development manager
  • Expertise in recommender systems and/or machine learning
  • Experience working with extremely large datasets, using tools such as Spark, Hadoop
  • Experience in a startup environment
  • A proven track record of software delivery through all phases of development
  • A proven track record of hiring and developing careers of software engineers
  • Knowledge of software engineering best practices including coding standards, code reviews, source control management, build processes, testing, and operations
  • Experience with building complex, highly scalable software systems that integrate with predictive models or machine learning applications
65

NLP & Machine Learning Senior Software Engineer Resume Examples & Samples

  • MSc/BS or higher degree in computational linguistics or computer science
  • At least 3 years experience in the areas of natural language processing, information extraction and machine learning
  • Experience in one of the following NLP domains: anaphora resolution, question answering, textual entailment, named entity recognition, dialog generation
  • Experience in one of the following machine learning domains: deep learning, sequence learning, learning to rank, feature selection, recommender systems
  • Publication record in research conferences and journals
  • Hands-on experience with NLP and machine learning libraries (e.g., scikit-learn, Factorie, Weka, MALLET, Stanford NLP)
  • Experience with ontologies, entity modeling, and semantic web technologies
  • At least 4 years experience using an object-oriented programming language (C++, Java, Scala) and scripting languages (Python)
  • Experience in developing large software systems
  • Experience in developing Web-based applications
66

Big Data & Machine Learning Resume Examples & Samples

  • Demonstrate experience with QA in a big data environment, with knowledge of Hadoop, Hbase, spark, kafka, and akka a plus
  • Demonstrate extensive hands-on experience with test automation tools and platforms
  • Demonstrate experience in formulating holistic QA approaches, from unit testing through to end-to-end system testing
  • Demonstrate previous QA experience in an agile development environment with – at least – weekly deliveries to production
  • Appreciate and understand the cloud delivery model and how that affects application solutions – both delivery and deployment
  • Solve problems in robust and creative ways and demonstrate solid verbal, interpersonal and written communication skills
  • Work in an environment with a significant number of unknowns – both technically and functionally. Inherent in such a new venture
  • Collaborate across all teams in the group, from product managers and data scientists, to product engineering and release
  • Work globally in a geographically dispersed team
  • Demonstrate at least 10 years experience in test engineering with at least 5 years in test automation
67

Machine Learning Technology Consultant, Mid Resume Examples & Samples

  • 4+ years of experience with computer architecture design and related research and development
  • Ability to commute to Arlington, VA
  • MA or MS degree
  • Experience with simulation and training of supervised, unsupervised, and reinforcement learning algorithms
  • Experience with government-sponsored research activities
  • Experience with program management
  • Knowledge of implementation of machine learning algorithms in architectures, including deep hierarchical artificial neural networks
  • Knowledge of probabilistic computing, low precision computing, and Bayesian inference
  • Knowledge of the current state-of-the-art in hardware implementations, including CPU and GPU for training and execution learning algorithms
  • Ability to convey complex technical insights to specialists and generalist audiences
  • MA or MS degree in EE, Computer Engineering, CS, or related field preferred; PhD degree a plus
68

Senior Engineer Machine Learning Resume Examples & Samples

  • Lead the development of LG's next generation scalable machine learning platform. Develop in-house platform solutions involving deep learning frameworks and optimizations to ML algorithms to help contribute to a number of key advanced technology and innovation projects that LG Silicon Valley Labs (SVL) is focusing on. This requires core expertise and prior experience with machine learning projects
  • Evaluate, modify and maintain LG's implementations and forks of open source deep learning frameworks. Examples of open source deep learning frameworks include Tensor-Flow, Theano, Torch7, Café, Cuda-Convnet. Contribute towards both proprietary (LG internal) as well as upstream improvements to these frameworks
  • Add wrappers and service APIs around core deep learning frameworks to allow webOS platform to do either device intensive or cloud based computations around training of data sets or execute built-in classification models on device
  • Develop and customize AI/machine learning solutions towards real customer facing projects such as vehicles, signage, TV, and around relevant technologies like computer vision, NLP, handwriting analysis, video content recognition, gesture analysis, and various other relevant applications for the LG platform group at SVL
  • Be a great team player. Teach other team members about new and groundbreaking work happening in the field of deep learning
  • Deliver projects with high quality on time
  • LI-SB1
69

UI / UX Engineer, Applied Machine Learning Resume Examples & Samples

  • Expertise in Javascript programming
  • Expertise in a popular open-source Javascript framework like AngularJS or ReactJS
  • Expertise in popular charting and visualization frameworks like D3.js
  • Deep interest in user interfaces and design as well as software development and effective programming methodologies
  • Strong Object-Oriented Programming skills
  • Strong Unix/Linux skills
70

Machine Learning Resume Examples & Samples

  • Experience using and developing machine learning or statistical algorithms
  • Excellent understanding of mathematical underpinnings of the algorithms
  • Good C/C++ skills
  • Highly professional, with the ability to deliver solid work on tight schedules
  • Knowledge of R / Matlab / Mathematica is highly desirable
71

Core OS Machine Learning & Differential Privacy Engineer Resume Examples & Samples

  • At least 2 years practical experience in using and developing privacy preserving machine learning or statistical algorithms
  • Proven track record of delivering concrete implementations
  • Excellent understanding of mathematical underpinnings of machine learning and data privacy
  • Knowledge of Python / R / Matlab / Mathematica is highly desirable
72

Machine Learning Infrastructure Engineer Resume Examples & Samples

  • Proficiency in C++ and Python
  • Excellent understanding of abstraction and modularity
  • Ability to master new concepts and technologies rapidly
  • Strong analytical skills and ingenuity
  • Deep technical understanding of the candidate's own work as well as the works of others
  • Excellent ability to explain technical ideas to others in a clear and concise manner
  • Passion for assimilating and extending the state of the art in multiple research domains (ideally including fields such as compilers, programming language design, distributed systems, and machine learning)
  • Strong commitment to the core values of Apple, ensuring the absolute highest standards of quality, innovation, scientific rigor, and respect for our customers and their privacy
  • (Optional, but very helpful) Experience with compilers and programming language design
  • (Optional, but helpful) Experience with functional programming and/or formal methods
  • (Optional, but helpful) Experience with Metal, CUDA, or OpenCL
  • (Optional, but helpful) Experience with distributed systems
  • (Optional, but helpful) Familiarity with basic concepts of machine learning
73

Software Engineer, Applied Machine Learning Resume Examples & Samples

  • The position requires a solid knowledge of secure coding practices and experience with open source technologies
  • Strong Object Oriented Programming skills and proficiency in languages like Java/C++
  • Experience in distributed systems, design and implementation of high throughput, low latency applications
  • Solid CS background, concurrent programming, and data structures
  • Solid understanding in NoSQL technologies like Cassandra
  • Solid understanding and working knowledge on Hadoop
  • Deep understanding of TCP, websockets, and libraries like Netty
  • Excellent problem solving skills, critical thinking, and communication skills
  • Strong ability to learn new technologies in a short time
74

Machine Learning Platform Engineer Resume Examples & Samples

  • 5+ years of experience working on data and ML projects
  • Strong understanding of statistics and applications as well as strong working knowledge of machine learning & deep learning techniques, including hands-on experience with corresponding software libraries and frameworks
  • Experience with NLP, image classification is a plus
  • Exposure to GPU based deep learning is a plus
  • Experience in Apache Hadoop, Spark or other MR frameworks is required
  • Strong programming skills in Java, Python and/or Scala are expected
  • Demonstrate ability to analyze a problem, and to develop & engineer a full solution from concept to deployment to production
  • Team player with long term vision and willingness to take lead in supporting the overall team goal is a must
  • Strong interpersonal, written, and verbal communication skills are required to present own results to other teams in a meaningful & engaging way
75

Machine Learning Lead Resume Examples & Samples

  • Experience in using machine learning techniques for classification, regression, or ranking problems
  • Experience in building predictive models for recommendations or personalization
  • Design and implementation of shipping, innovative consumer products
  • Minimum of 5 years experience building large-scale consumer facing software
  • Experience with search or indexing is a plus
  • Experience with deep learning and neural networks is a plus
  • Experience in compiled languages C, C++, Objective-C, or Swift is a plus
76

Recruiting Manager, Machine Learning & AI Resume Examples & Samples

  • 3+ years of leadership experience guiding recruiting teams in an environment
  • Experience managing teams of 15+ direct reports
  • Experience growing and developing a range of talent at different stages of their career
  • Strategic thinker with data analysis and analytical skills
77

Machine Learning & Graph Theory Postdoc Resume Examples & Samples

  • Graph theory and graph algorithms
  • Data intensive computing
  • High-performance computing
  • Advanced programming skills
  • Background or research-level expertise in as many of the following: dynamic graph algorithms, high-performance computing, discrete optimization, algorithm engineering, data-intensive computing
78

Machine Learning Resume Examples & Samples

  • Proven achievements in machine learning research
  • Ability to read, understand, and communicate technical documentation
  • Software development experience in machine learning and natural language processing such as Python, R, Matlab, etc
  • Strong background in Python, SQL, and R. Familiarity with designing and conducting experiments with human subjects
79

Senior SDE, Machine Learning Resume Examples & Samples

  • Build scalable, high-performance software for productionalizing recommendations models
  • Analyze and extract relevant information from large amounts of Amazon's historical business data to help automate and optimize key features and processes
  • Establish scalable, efficient, automated processes for large scale data analyses, model development, validation and implementation
  • Research and use statistical techniques to create scalable solutions for business problems
  • Work closely with scientists and engineering teams to create and deploy new features
  • Work closely with stakeholders to optimize various business operations
  • Track general business activity and provide clear, compelling management reporting on a regular basis
  • Ability to lead and mentor engineers
  • BS + 2 years of experience in software development, or MS (in CS or related field)
  • 5+ Years of experience in Softfware Development
  • Experience building high-quality scalable production software
  • Familiarity with many development languages: C++, Java, Python, expert in at least one
  • Experience with full development life cycle for large-scale software products including experience with service oriented architectures, design patterns, web services, and web applications/services development
  • 1+ years of experience applying machine learning to solve real-world problems
  • Experience working with Spark, Hadoop, and AWS (EMR, EC2, S3, etc…)
  • Experience working with CUDA and GPU programming
  • Experience building high-performance computational software
  • Experience working with large volumes of real-world noisy data
80

Machine Learning / Computer Vision Engineer Resume Examples & Samples

  • MS or PhD in Machine Learning, Computer Science, Robotics, or equivalent technical field preferred
  • Completed end-to-end machine learning algorithm deployment expertise – including ETL and data quality analysis (academic or industry experience)
  • At least one year experience(academic or corporate) implementing machine learning algorithms on multiple platforms
  • Fast prototyping skills
  • Strong knowledge of feature engineering and trade-offs between various machine learning algorithms
  • Experience developing deep learning models using tools such as Caffe, Tensorflow, Theano, or similar tool
  • At least one year experience(academic or corporate) programming in Python/R or C++ (preferably both)
  • At least one year experience(academic or corporate) with revision control software (Git preferred) and related development best practices
  • Understanding of code documentation and unit testing
  • Familiarity with database development/application integration
  • Experience with signal processing and time-series data analysis
  • Experience with code parallelization/optimization including GPU programming
  • Creative/original thinker
81

Ensemble Machine Learning Intern Resume Examples & Samples

  • Must be a junior in an undergrad program or higher, with a minimum 3.2 GPA (will be verified)
  • Preferred course of study: Computer science,
  • Must have solid knowledge of machine learning methods, big data technology stack including Apache Spark, bioinformatics exposure
  • Demonstrated ability to review scientific publications
  • Ability to be self-directed and work well in a fast-paced environment is essential
  • Must have strong communication skills and ability to work effectively in a collaborative environment
82

Technical Sourcer, Machine Learning Resume Examples & Samples

  • 4+ years hardware and software sourcing experience with a search firm or in-house recruiting team
  • Experience working with and building sourcing strategies with Director level hiring managers
  • Experience sourcing in the machine learning space is a big plus
  • Good eye for talent with ability to quickly screen resumes to identify fit
  • Excellent research/sourcing skills with ability to dive deep into searches for hard-to-fill reqs
  • Sound candidate engagement approach with ability to activate passive candidates
  • Sharp interview skills
  • Solid tech and industry knowledge with ability to understand relevant tech skills, target companies, conferences, open source communities
  • Strong interpersonal skills with ability to communicate well
  • Passionate about Facebook and our mission with the ability to convey this to candidates
83

Machine Learning Expert Resume Examples & Samples

  • PhD in one of the machine learning related fields: deep learning, graphical modelling, learning to rank, data mining and web mining. Postdoctoral work highly desirable
  • Strong programming skills, at least being efficient with one low level language, C++/Java, and one of scripting languages Python/R/Scala
  • Proven experience of working with real data (data cleaning, data visualisation and modelling) (can include time in academia/research)
84

Executive Assistant to VP, Machine Learning Resume Examples & Samples

  • 5+ years work experience in a fast-paced executive administrative capacity
  • Strong skills in key programs including Microsoft Outlook, Word, Excel and PowerPoint
  • High level of integrity and discretion in handling confidential information
  • Demonstrated creative problem-solving skills
  • Prior experience in a fast-paced, high-tech company
  • Experience working with SharePoint
  • Desire and aptitude for learning new concepts on the job
  • Experience working with a Global team
  • Experience working with a Technical team
85

Machine Learning Researcher Resume Examples & Samples

  • 1-4 years of related experience
  • Superb analytical and quantitative skills
  • Demonstrated interest in financial markets
86

Machine Learning Intern Resume Examples & Samples

  • Enthusiasm for applying Machine Learning to business problems
  • Computer science grounding in a range of algorithms and data-structures
  • Proficient in an object-orientated programming language (Java, C++, C#, Python, etc.)
  • Excellent critical thinking skills, combined with the ability to present your beliefs clearly and compellingly in both verbal and written form
  • Postgraduate study
87

Senior Engineer, Machine Learning Resume Examples & Samples

  • Design and develop a cost effective machine learning & statistical model for Predictive and Prescriptive Analytics applications
  • Plan, create, coordinate, and deploy business information solutions
  • Work with peers and business partners to gather business requirements and define technical specifications and plan for developing and deploying solutions
  • Design and setup online A/B tests
  • Master’s degree in Computer Science, Computer Engineering, Mathematics and, or Statistics; PhD is a plus
  • Experiences in making engineering & business trade off decisions based on statistical analysis and insights
  • Familiarity with open source tools e.g. HDFS, SQL, Hive, Pig, Spark, Scala, Java, Python, etc
  • Familiarity with machine learning packages e.g. Weka, R, Scikit-learn, Scala/Spark, Mahout, Vowpal Wabbit, etc
  • Willingness to drive results and to push the boundaries by taking justifiable risks with management supports
  • Experience with Google, Azure, AWS platforms, Apex/VisualForce, a plus
  • Excellent verbal and written communications skills
88

Machine Learning Software Engineer Resume Examples & Samples

  • A passion for solving real world problems with machine learning
  • BS in Computer Science, Math or related field. Advanced degree preferred
  • Experience working with collaborative filtering, clustering, classification, regression, and/or statistical modeling
  • Knowledge of Hadoop, Hive, Redshift or other big data tools
  • Knowledge and experience of SQL and relational databases
  • Fluency with statistical tools such as R or Python scikit-learn
  • Strong computer science fundamentals (data structures and complexity)
89

Business Developer for Machine Learning Development Resume Examples & Samples

  • Stay connected to customers, customer councils, end users and SAP ecosystem to ensure grass-root level understanding of their current & future needs
  • Ability to capture customer requirements and translate them into software specifications
  • Build business cases to implement solution strategy
  • Contributes to the efficiency, effectiveness and improvement of processes
  • Develop/build story boards for demos of innovation solutions
  • Monitor and analyze technology and industry trends, market research data and customer requirements to identify growth opportunities for SAP
  • Develop and drive solution roadmap and corresponding revenue plan. Build business cases to implement solution strategy
  • Deliver high quality solutions (packages), validation and acceptance of planned and implemented scope adding solution-related non-coded assets and services
  • Create roll out materials e.g. collaterals, references, success stories
  • Actively participate in customer communities. Support strategic deals and customers and partners
  • At least 5 years of solution/business development experiences
  • Experience in develop co-innovation user case with customer
  • Excellent English language skills
  • Ability to travel domestically and internationally
  • Advanced degree in Computer Science/Math/Engineering; MBA preferred
90

Frontend Developer for Machine Learning Development Resume Examples & Samples

  • As a Frontend developer you will be responsible to design and implement complex UI features using JavaScript, HTML5, SAPUI5 and mobile technologies
  • Build robust and scalable solution bringing in some of the industry’s software engineering best practices
  • Work with UX designer, cross functional teams and collaborate with other teams to develop scalable and robust solutions
  • BS or MS in Computer science with experience in developing frontend applications
  • Hands-on skills in web app development with expert level knowledge of CSS, HTML5, JavaScript, SAPUI5 and JSON/XML/OData manipulation
  • Be able to demonstrate skills to personal projects, GitHub repository, and open source contributions
  • Experience creating mockups with Sketch or Illustrator
  • NodeJS, Python, Java programming experience
  • Experience working with Redis, Mongo DB
  • Knowledge in Bootstrap, Foundation Frameworks, SAPUI5, jQuery, AngularJS, React,
  • Manipulating SVG with D3, Raphael or ChartJS
91

Senior UX Designer for Machine Learning Resume Examples & Samples

  • Experience with web development for desktop UI
  • Experience as a leader of multi-disciplinary creative teams
  • Experience building teams from scratch
  • Experience defining a team's and v1 product vision
  • Experience working with remote teams
  • Experience working with research oriented teams
  • Experience with machine learning technologies
  • Experience presenting to senior leadership (VPs, SVPs)
92

Software Eng., Machine Learning Resume Examples & Samples

  • Create the technology future of online classifieds in a scalable, clean way
  • Improve our applications and APIs to become better and smarter each day
  • Leverage machine learning technologies for insight-driven improvements of our product
  • Ensure code quality and maintainability by improving build and test systems
  • Be an interface between Product Management, Design, Business and Customers
  • Drive your own ideas for code and process improvement and achieve the next level together with the team
  • Be involved in the whole development lifecycle from architecture to QA and deployment
93

Product Specialist for Machine Learning Incubation Team Resume Examples & Samples

  • Master’s degree in computer sciences or related field
  • Excellent product and business expertise in sales and service solutions, e.g., CRM or SAP Hybris Cloud for Customer
  • Ability to work in a global team with distributed stakeholders and team members
  • Deep understanding of customer needs as well as long-term interactions with customers
  • Proven experience in planning, executing and coordinating development projects
  • People and Project management skills
  • Experience in applying Design Thinking
  • Excellent English language skills, German language is a plus
94

Software Engineer, Machine Learning, Building Resume Examples & Samples

  • Adapt machine learning techniques from domains such as Vision and Speech to build intelligent user experiences
  • Develop optimized software to run on variety of platforms and environments including mobile, tablet and laptops
  • M.S. or Ph.D in Computer Science and 3+ years of relevant work experience
  • 3+ years of experience in applying machine learning techniques to computer vision and speech recognition domains
  • Experience with scripting languages such as Perl, and Python
95

Lead Machine Learning Software Engineer Resume Examples & Samples

  • Progressive SOA based solution design
  • Utilize data from several data sources to support solution features
  • Develop and deploy solutions independently and as a team member
  • Direct the work of other development resources
  • 3+ years of experience leading and mentoring technical team members
  • 5+ years of experience with the fundamentals and practical application of Machine Learning & Al
  • 3+ years of experience with one or more of the following Machine Learning and Cognitive technologies: IBM Watson, SAS, Amazon ML, Google Cloud ML, Azure ML Studio
  • Proficiency with core Machine Learning methodologies: Regression, Classification, Clustering, Matrix Factorization, Predictive Analytics, Natural Language processing, Decision trees, Support Vector Machines, Neural Networks/ Deep Learning
  • 3+ years of experience creating prototypes in R, Python, Scala, Java or similar stack
  • 3+ years of experience with data retrieval and manipulation utilizing: SQL, Hive QL, Python, Hadoop, R, Unstructured Data
  • Ability to work effectively in a cross-functional team
  • Demonstrated initiative and strong ownership of deliverables
  • Experience with service oriented architecture
96

Director of Machine Learning Software Engineering Resume Examples & Samples

  • Provide leadership and direction setting for an Engineering group responsible for delivering software solutions that embody Cognitive Computing and Machine Learning Capabilities and Features
  • Insure the delivery of progressive SOA based solution designs
  • Drive resources to leverage existing frameworks and standards, contribute input for improving existing ones and support the creation of new where they do not exist
  • Direct the work of others
  • 5+ years of leadership experience (including leading and mentoring technical team members, and budget responsibility)
  • 5+ years of service development (REST, API, Microservices)
  • Thorough understanding of core Machine Learning methodologies: Regression, Classification, Clustering, Matrix Factorization, Predictive Analytics, Natural Language processing, Decision trees, Support Vector Machines, Neural Networks/ Deep Learning
  • 3+ years of experience with retrieval and manipulation processes utilizing: SQL, Hive QL, Python, Hadoop, R, Unstructured Data
  • Advanced degree in computer science or related field (PhD desired)
  • Healthcare experience
97

Automated Driving Research Intern Machine Learning Embedded Software Resume Examples & Samples

  • Development of software toolsets for acquisition, data processing, and visualization of large-scale data sets
  • Simulation studies, including Hardware-in-the-Loop scenarios
  • Code optimization to migrate prototype algorithms to automotive/embedded systems
  • Participate in technical discussions and in the creation of new ideas for automotive applications within the existing autonomous vehicle research team
  • Publish technical reports, papers and/or pursue Intellectual Property rights
  • Bachelor's degree in Engineering or Computer Science
  • 3+ months of experience programming in C/C++
  • Demonstrated ability to carry out independent research and lead projects
  • Proficiency in multiple operating systems such as Windows, UNIX, Linux, etc
  • Proficiency in multiple contemporary computer programming languages and environments such as C/C++, PERL, Python, Java, OpenGL, OpenCV, CUDA, MATLAB etc
  • GPU, GP-GPU, Parallel programming tools and language extensions etc
  • Experience with hardware such as LIDAR, radar, cameras, GPS, IMUs, CAN bus, etc
98

Senior Manager of Machine Learning Resume Examples & Samples

  • Develop and manage the long-term vision and portfolio of research initiatives for your team
  • Lead experienced scientists as well as develop junior members from academia/industry to a successful career track in applied science
  • PhD in Computer Science (Machine Learning, AI, Statistics, or equivalent)
  • 10+ years of practical experience applying ML to solve complex problems for large-scale applications
  • 5+ years of practical experience managing one or more machine learning teams
  • Ability to distill informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
  • Ability to manage and quantify improvement in customer experience or value for the business resulting from research outcomes
  • Track record of hiring and leading experienced scientists as well as a successful record of developing junior members from academia/industry to a successful career track
  • 10+ years of practical experience applying ML to solve complex problems for applications handling gigabyte and terabyte size datasets
  • Extensive knowledge and practical experience in several of the following areas: machine learning, statistics, NLP, deep learning, recommendation systems, dialogue systems, information retrieval
  • Track record of scientific publications in premier journals and conferences
  • 8+ years of practical experience managing one or more machine learning teams
  • Professional experience in software development (software design and development life cycle)
  • Project management experience for working on cross-functional projects
99

Machine Learning Product Manager Resume Examples & Samples

  • Manage machine learning & big data projects to solve strategic problems of different business groups at Intel (e.g. Design, Manufacturing)
  • Lead a project team of ~5 product analysts, big data developers and data scientist from early opportunity exploration stages to agile solution development
  • Serve as a Product Manager of the various projects, define project scope, vision and priorities
  • Work with senior stakeholders to ensure and define project success and growth
  • Business development: from finding new ideas for machine learning based projects, through analyzing them to growing them into a valid opportunity for a project
100

Software Developer, Machine Learning Resume Examples & Samples

  • Develop and Implement predictive models for real time predictions
  • Boost Innovation by building rapid prototypes for experimentation
  • Use statistics, NLP and machine learning techniques to create scalable solutions for business problems
  • Analyze and extract relevant information from large amounts of both structured and unstructured data to help automate and optimize key processes
  • Design, experiment and evaluate highly innovative models for predictive learning
  • Work closely with business staff to optimize various business operations
  • A Masters' degree in Computer Science
  • 2+ years of software engineering experience
  • Strong coding ability using Java/Python
  • Strong business problem solving ability
  • Experience with UI – Web and mobile development
  • 1+ years of hands-on experience in predictive modeling and large data analysis
  • Proficiency in object-oriented design
101

Machine Learning Software Engineer Resume Examples & Samples

  • Develop scalable algorithms to optimize and monitor campaign performances across a diverse group of over 20,000 marketers
  • Design and run experiments to optimize user segmentation, creative design, campaign setup, and real-time bidding strategies
  • Apply statistical models on large datasets to
  • BS or MS (PhD preferred) in a quantitative field such as Statistics, Quantitative Finance, Computer Science, Physics or a related degree. Relevant work experience will supersede degree
  • 2+ years “hands-on” experience building production-ready, scalable software solutions
  • 3+ years experience in building models and developing algorithms for machine learning, statistics, and simulation in industry and/or academia
  • 3+ years experience with Python. Familiarity with R is a plus
  • Strong SQL skills
  • Excellent communication, organization, and problem solving skills
  • Link or attachment of code you’ve written related to a recent data analysis. Please provide an overview of your key findings, methodology and impact
102

Machine Learning Intern Resume Examples & Samples

  • Working with Hadoop, Redshift, and other big data systems
  • Applying machine learning techniques to personalize the site experience for our users
  • Building algorithms to help our review fraud team catch bad guys
  • Working on various classification and regression problems over our huge database of traveller reviews and site data
103

Software Engineer, Core Machine Learning Resume Examples & Samples

  • Minimum of 2 years recent Java or Scala application development experience
  • Expert with practical experience in Object Oriented Design
  • Deep experience in a wide range of APIs, tools, and open source libraries
  • Strong SQL skills required
  • Experience in distributed data processing frameworks such as Spark and Hadoop
  • Intermediate Linux/UNIX skills
  • An undergraduate in computer science (or related field)
  • Graduate degree in computer science
  • Expertise with Hadoop and Spark
  • Experience building web UI with React
104

Product Manager, Payments Machine Learning Resume Examples & Samples

  • Develop and communicate a bold vision for the product. Write PR FAQs, work backwards to improve the customer experience
  • Own the product roadmap and prioritize the engineering and optimization projects
  • Launch new channels and drive improvements in optimization
  • Communicate regularly with stakeholders to ensure product roadmap meets their business needs
  • Insist on highest standards for content and offers
  • Write the requirements for launching on Alexa, reach new customer segments, etc
  • Bachelor’s degree in Computer Science, Mathematics, Economics, Statistics, Finance or related technical field
  • 5+ years of relevant employment experience, including bringing product features to market
  • Demonstrated ability to engage and influence people and teams at every level in the organization
  • Strong verbal/written communication skills to work effectively communicate with both business and technical teams
  • Proven track record of using analytical and quantitative skills to help propose successful changes in optimization, forecasting or similar decision making algorithms
  • An MS degree in Computer Science, Mathematics, Statistics, Finance, Machine Learning or related technical field or MBA from a top university
  • Experience in econometrics, statistical modeling and machine learning methodologies
  • Python, SAS, SQL, or other relevant scripting language
  • Experience in display advertising or online marketing
105

Machine Learning Resume Examples & Samples

  • Research and develop deep learning algorithms
  • Stay current with DL and ML latest research and technology ideas
  • Provide SW specifications, production quality code and engage with algorithm proliferation activities
  • Research and develop state of the art techniques in the field of computer vision, ML and DL
  • Work with the system, physics, SW and application group
106

Machine Learning Researcher Resume Examples & Samples

  • A Masters’ degree with several years’ experience and a view to completing a PhD, or a minimum of PhD (with research in machine learning algorithms) if coming straight out of education
  • Experience in Python or R
  • Exposure to Spark/Hadoop and either Theano/Tensorflow/Caffe/Torch
  • Mastery of relevant mathematics for machine learning such as linear algebra and gradients
  • Ideally you may have a mathematical background in Cognitive Science, Deep Learning, Advanced Semantic Design, Information Extraction, Information retrieval, Probabilistic Decision Marking, or similar
107

Machine Learning & Data Exploitation Postdoc Resume Examples & Samples

  • Strong mathematical background (e.g., in probability, statistics, machine learning, signal processing, and/or image processing)
  • Practical technical programming experience
  • An enthusiasm for creative problem solving
  • The ability and desire to work as part of a multi‐disciplinary team
108

Avp-machine Learning Resume Examples & Samples

  • Be a key stakeholder in enabling Predictive Modeling Solutions for domain specific products using standard industry best statistical Algorithms
  • Define Data Preparation Approach, design model and finalize the appropriate Machine Learning Algorithms based on Problem Scenario. Handle Data Munging/ Data wrangling/ Mash up Techniques to prepare sample, test data
  • Apply data mining techniques, do statistical & exploratory analysis and build high quality prediction systems integrated with existing products
  • Help/coordinate with, other date scientist’s or ML programmers to evaluate algorithms and fine tune the models
  • Work with Product Managers to understand the Predictive Modeling requirements and Define the Architecture using R, Python, Spark, SQL, Hive, Mahout, Tableau ..etc
  • Identify the Supervised/Un Supervised classification, Regression, Rule and Cluster based Statistical Machine Learning algorithms which fit to the required data analysis
  • Selecting features, building and optimizing classifiers using machine learning techniques
  • Work with Technical leads to design, build optimized solutions on par with current industry best practices in Processing, cleansing, and verifying the integrity of data used for analysis
  • Handle large volumes of data for sample data preparation and test data preparation to apply the ML models using Data Munging / Data wrangling/Mash up Techniques
  • Provide consulting and support for custom development and quality assurance efforts for custom work
  • Provide best practices on R, Spark, Hive,SQL, Python,Tableau and other others
  • Manage development designs across multiple projects to meet project and customer required time lines
  • Define Exploratory Data analysis Approach to analyse data and summarize their main characteristic with visual methods
  • Proven track record in ML & Predictive analysis using Technologies like R,Spark,Python,Mahout.Hive etc
  • Sound knowledge of Statistical Machine Learning Algorithms for exploratory & predictive data analysis
  • Comfortable in a dynamic atmosphere of a technical organization & well versed with object oriented languages, database design & hands-on experience in writing codes, technical design, architecture reviews & large scale enterprise applications
  • Candidate must be organized and analytical, adept at working in a multiple team’s environment, able to design and implement a technical solution, and able to handle multiple priorities in a fast moving environment
  • Experience in Regression, Classification, Clustering Algorithms like Linear Regression, Random Forrest, Decision Tree, Logistic Regression, K-Mean, Naive Bayes, SVM, Decision Forests, etc
  • B.Tech / M.Tech /BE in Computer Science, Software Engineering, MIS or equivalent preferred
  • Should have hands-on expertise in some of the following technologies: R, Python, Spark, Mahout,Hive..etc
109

Principal Machine Learning Engineering Manager Resume Examples & Samples

  • Identify and attract top talent
  • Build relationships and be a trusted advisor across complex distributed systems
  • Analyze and take decisions based on complex and ambiguous data points
  • Identify, build and coach the team on ML techniques to solve technical problems
  • Build user funnels to better understand opportunities
  • Identifying third party data tools, driving selection and adoption
  • Development and implementation of experiences to drive new experiences across Bing
110

Machine Learning & Computer Vision Architect Resume Examples & Samples

  • Expertise and experience in machine learning algorithms, such as convolutional neural network, LSTM (Long Short-Term Memory) neural network, classification/detection, reinforcement learning and their applications
  • Familiarity in computer vision algorithms such as object detection, tracking and recognition, 3D computer vision — SfM/SLAM
  • Strong programming skills in C++ and Python. Knowledge of Matlab is a plus
  • Knowledge/experience in HW architecture is a big plus
  • Knowledge in image processing, camera pipeline is a big plus
  • Knowledge in language/speech processing is a plus
  • Strong communication skills and ability to work across various groups
111

DSP Engineer Wireless / Machine Learning Resume Examples & Samples

  • Experience with machine learning algorithms, deep convolutional neural networks (DCCN)
  • Implementation of DCCN in software and/or hardware (ASIC)
  • Implementation of complex signal processing on at least one of the following platforms: FPGAs, ASIC, ASSP, GPP, GPU, DSP
112

Graph Analytics Machine Learning Senior Researcher Resume Examples & Samples

  • Design and implement secure, scalable, graph-based, and fault-tolerant solutions across a distributed architecture, with the objective of researching and developing semi- and fully automated approaches applicable across multiple domains
  • Bachelor's degree and 9+ years of related experience
  • At least three years of specialized experience innovating analytical techniques and performing analytical functions using machine-learning libraries and approaches
  • Advanced degree in computer science (Ph.D highly desired) or a related discipline. 8 years of overall experience is preferred
  • Strong record of publication in Machine Learning, Artificial Intelligence, or related discipline
  • Prior experience as a project lead, preferably as PI
  • Familiarity with multiple approaches to representing and developing solutions using probabilistic graphical models (Bayes Nets, CRFs, MLNs, PSL) using techniques like statistical relational learning for problems such as causal discovery, temporal dependence, structure mapping and link/evidence prediction
  • Familiarity with multiple state of the art approaches to machine learning (unsupervised, semi-supervised, supervised, transfer) and existing libraries for implementing these approaches (e.g., CUDA, Caffe, Theano, Torch, Nvidia Digits)
  • Prior experience with a few of the following models: Logistic Regression, Linear Regression, Support Vector Machines, (Deep) Neural Networks, Hidden Markov Models, Conditional Random Fields, Markov Logic Nets, Probabilistic Soft Logic
113

Machine Learning Expert for the Debating Technologies Team Resume Examples & Samples

  • Join a team of creative thinkers to build debating technologies that will help humans reason, make decisions, or persuade others
  • Contribute to a team that is pushing the frontiers of intelligent systems
  • Work closely with researchers worldwide to develop new ways to interact with computers
  • Graduate degree with academic research and hands on experience in natural language processing and/or machine learning
  • Programming knowledge and experience. Java is an advantage
114

Wireless Integrity Software Database & Machine Learning Resume Examples & Samples

  • Use statistical and machine learning techniques to help our products behave intelligently and delight the end user
  • Design, development and evaluation of highly innovative models for predictive learning
  • Work closely with software engineering teams to drive real-time model implementations and new feature creation
  • Establish scalable, efficient, automated processes for large-scale data analyses, model development, model validation and model implementation
  • Research and implement novel machine learning and statistical approaches
  • Bachelor’s degree in Computer Science, Machine Learning, AI/Robotics or related field
  • Coursework in software development
  • Experience in predictive modeling and analysis
  • Master’s degree in Computer Science, Machine Learning, AI/Robotics or related field
  • Skills with Java or C++, Perl (or similar scripting language), and/or Matlab
  • Strong communication and data presentation skills
115

IBM Watson Machine Learning Resume Examples & Samples

  • Contribute to the architecture, design, implementation, and delivery of product
  • Develop high quality, highly performance code
  • Collaborate with the team to deliver product on time
  • Strong object-oriented design skills and coding skills. Experience in Java, C++, Python, Scala or other equivalent languages
  • Ability to write high performance production quality code
  • Good data analysis, design and testing skills. Experience with Hadoop, Spark, or related technologies
  • Excellent communication skills and teamwork
  • Self-driven, innovative and collaborative
  • Loves new technology challenges and learning new things
  • Like to work in an agile, iterative, test-driven development team
116

IBM Watson Machine Learning Resume Examples & Samples

  • Architect, design and implement machine learning platform following design thinking practices
  • Lead the development team to create high quality deliverables iteratively following agile process
  • Provide technical vision on the product and technical guidance to the development team
  • Strong skills and experiences in software architect
  • Strong object-oriented design skills and coding skills. Ability to write high performance production quality code. Strong skills in Java, C++, Python, Scala or other equivalent languages
  • Strong data analysis, design and testing skills. Experience with Hadoop, Spark, or related technologies
  • Experience with building high-performance, highly-available and scalable software systems
  • Knowledge of the latest advancements in the machine learning, AI technologies
  • Ability to solve complex problems independently and to seek out and generate innovative solutions
  • Self-driven, innovative and collaborative. Exhibit a high level of individual initiative and ownership
  • Experience mentoring and training the engineering community on complex technical issues
  • Ability to focus on delivering results in a dynamic environment with aggressive deadlines and multiple priorities
  • Experience with agile, iterative, test-driven development
  • 3+ years experience of software development lead
117

IBM Watson Machine Learning Resume Examples & Samples

  • Lead the definition and development of machine learning product UI architecture and framework
  • Work with User Experience design to iterate and implement Web UI with high quality, simplicity and intuitive principles
  • Provide technical leadership and mentoring for teammates
  • Deep understanding of UI framework and choices, and experience in building UI applications
  • Strong skills in writing clean, unobtrusive Javascript including experience with common libraries and debugging tools
  • HTML5, CSS, SASS and semantic markup
  • JavaScript frameworks (AngularJS/ReactiveUI)
  • Javascript/JQuery
  • AJAX
  • Familiarity with the whole web stack, including protocols, web service and web server optimization techniques
  • Strong skills in object oriented design and programming best practices
  • Passion for shipping great software people actually want to use
  • Love to constantly learn new skills and refine existing ones
118

IBM Watson Machine Learning Resume Examples & Samples

  • Work with product manager, designer and engineers to design and develop the product with data scientist best practices embedded
  • Design and develop new algorithms and models for product improvement
  • Improve the user experiences of all aspects of the learning process, include data collection to data processing, exploration, visualization and modeling
  • Work with customers to identify real problem and scenarios, and apply product to improve business results
  • Deep knowledge of statistics and data analysis (linear regression, statistical test, Markov chain, Bayesian analysis, etc)
  • Good understanding of common families of models, feature engineering, feature selection and other practical machine learning issues, such as overfitting
  • Experience in Python, Java, C++, Scala, or other equivalent languages/tools commonly, one of frameworks like SparkML, TensorFlow
  • Knowledge of ML pipeline frameworks, incremental model building and scoring, detection of model decay is a big plus
  • Experience working with relational databases and SQL, the ability to write complex SQL queries
  • Open-minded, adaptive to changes, and excited to learn new things
  • Strong team player, great problem solver
  • Excellent communication to both technical and non-technical audiences
  • Knowledge and experiences of big data and analysis techniques, e.g. Hadoop/Spark and/or other MapReduce paradigms is a plus
  • Industry experience in building innovative end-to-end Machine Learning, Text analytics, search is a big plus
119

IBM Watson Machine Learning Resume Examples & Samples

  • Develop high quality, clear, maintainable code with functionality based on requirements
  • Test the product to ensure full functional test coverage
  • Good programming skills Java, C++, Python, Scala or other equivalent languages
  • Good skills in computer science fundamentals in algorithm design, problem solving
  • Knowledge in Hadoop, Spark, or related technologies
  • Good communication skills and teamwork
  • Self-driven, proactively and continually improve skill level and technologies needed in work
  • Loves to learn new technologies
120

Machine Learning Expert Resume Examples & Samples

  • Data Science experience
  • Programming skills: KDB/Q, Angular JS
  • Expertise in any of: machine learning, Bayesian inference, time series analysis, forecasting, optimization
  • Strong background in algorithms, mathematics and/or statistics
  • Programming skills: Python, R, C++ or Java
  • Interpersonal and communication skills
  • Detail oriented attitude
  • Be open to learn and apply new technologies and programming languages
121

IBM Watson Machine Learning Resume Examples & Samples

  • Measure, test and tune the performance of the product
  • Identify, architect and implement software changes to improve the performance of the product
  • Design and create tools to ease the job of profiling, analysis and performance tracking
  • Strong understanding of machine learning,
  • Good knowledge in Hadoop, Spark, or related technologies
  • Excellent level of technical knowledge and understanding of whole system performance issues
  • Experience in solving/optimizing real system performance issues, especially, experience in Spark, machine learning, Java application optimization work
  • Good skills Java, C++, Python, Scala or other equivalent languages
  • Strong experience in good software engineering practices
  • MS/BS of Computer/Data Science or Engineering
122

Machine Learning Algorithm Developer Resume Examples & Samples

  • Research and develop state of the art Machine Learning algorithms
  • Shoulder to shoulder work with the system, physics, SW and application group
  • Provide SW specifications and production quality code on time to meet project mile stones
  • Engage with customer facing activities to aid algorithm proliferation to customer sites
123

Machine Learning Postdoc Resume Examples & Samples

  • Experience in Materials Science and/or Geophysics
  • Strong understanding of Mechanical behavior of materials under geologic loading conditions
  • Proficiency in Python, Fortran, C, and C++
  • Excellent written and communication skills in English
  • Significant code development experience and an understanding of computational methods
  • Motivation to achieve in an independent work environment and also the communication skills to interact with a multidisciplinary, integrated team
  • Code development experience
  • Big data handling experience
  • Experience with numerical modeling (e.g. finite element, finite difference, discrete elements) for simulating fault processes, or experimental background in fault physics is desired
  • Solid understanding of materials science and or earthquake physics
  • Excellent publication record in the field of materials science or geophysics
124

Machine Learning Research Engineer Resume Examples & Samples

  • MS or higher in the field of Math, Statistics or Computer Science with a focus on Machine Learning
  • 3 years of work experience related to the above; or extensive experience working in these fields as part of a graduate or doctorate program
  • Experience in parallel distribution of algorithms using platforms such as: Spark, Hadoop, etc
  • Practical experience in developing high scale machine learning algorithms
125

Machine Learning Software Engineer Resume Examples & Samples

  • PhD or MSc degree in Computer Science, Mathematics, Physics, or related field
  • Proficiency in at least one common programming language
  • Strong design and development skills
  • Proven track record of building applications to solve real-world problems
  • Experience with machine learning and artificial intelligence
  • Ability to tackle loosely defined problems
  • Ability to explain complex topics in simple terms
126

WO Workalong Internship Machine Learning Resume Examples & Samples

  • Bachelor Computer Science or equivalent at WO level
  • Programming skills
  • Basic knowledge of neural networks and GPU computing
  • Willingness to support others
  • Able to read/write/speak in both Dutch and English
  • Must show initiative, creativity, and ability to work independently
  • Have a strong interest in IT and you like to work in a creative environment
127

Machine Learning for Autonomous Vehicles Research Engineer Resume Examples & Samples

  • Working closely with other researchers on enhancing, and testing, implementation of the existing machine learning algorithms for autonomous driving
  • Creating and validating innovative machine learning based approaches
  • Coordinating with fellow researcher engineers from the Ford engineering community in Dearborn, MI, Palo Alto, CA, Tel Aviv, Israel, and Aachen, Germany
  • 1+ years' developing machine learning models such as using deep learning methods for classification and regression
  • Experience applying machine learning approaches such as deep convolutional neural networks and/or recurrent neural networks
  • Inquisitive, proactive, and interested in learning new tools and techniques
  • Strong oral, written and interpersonal communication skills and an ability to work in a team environment
  • Well-organized, independent and ready to work with minimal supervision
  • Strong problem formulation and problem solving skills
128

Senior Machine Learning & AI Developer Resume Examples & Samples

  • Decision Management Development: You will need to be able to design, develop, and integrate decision management platforms either on premise at the client locations or via the Epsilon cloud working with engineering, database, and system administration teams. Below is a list of detailed responsibilities
  • 5+ years of experience in marketing technology with an emphasis in decision management platforms such as; Oracle RTD, SAS Decision Manager, IBM Interact, or PegaSystems Decision Hub. Oracle RTD is preferred
  • Experience using other decision management technologies is a plus. Examples: Adobe Target Automated Personalization, Infor Epiphany, Certona, SAP KXEN, Amazon and Microsoft machine learning platform
  • Analytics background would be helpful; modeling and analytics experience highly valued
  • Experience working with Oracle Java language needed (or equivalent), as well as background in database development
  • Preferred domain knowledge around the following technologies; Oracle RTD, Blue Kai, Email Service Providers, Eloqua, Call Center environments, SFDC, and other CRM and Marketing Automation tools
  • Other required skills in Microsoft Office (Excel, Project, Word, PowerPoint, OneNote, SharePoint, InfoPath, Outlook, Publisher, and Visio)
  • Ability to manage and prioritize work across multiple projects, with different stakeholders, simultaneously
  • Demonstrated verbal and written communication skills including technical writing / documentation, resource planning, as well as vendor management
  • Background in Marketing Technology is highly preferred
  • Bachelor’s degree required. Masters preferred
129

Senior PM for Machine Learning & AI Resume Examples & Samples

  • Manage Program/project scope, cost, quality and timeline deliverables
  • Regularly report status to business and IT
  • Preferred experience in Marketing technology solutions
  • Preferred experience managing large programs and projects
  • PM skills
130

IBM Watson Machine Learning Resume Examples & Samples

  • Work closely with UX designers to create fast, easy to use, reusable, testable UI components
  • Test the UI components to ensure high quality and user experience
  • Good skills and experiences in UI common libraries and debugging tools
  • HTML, CSS
  • Java Script frameworks (AngularJS/ReactiveUI)
  • Good knowledge of web UI framework and choices, and experience in building web UI applications
  • Knowledge of web-service and data-driven application architecture
  • Self-driven, Love to learn new skills
131

Machine Learning Researcher / Developer Resume Examples & Samples

  • Bachelors with at least 5 years of experience, or 3 years with a Masters, or 0 years with a PhD within a Science, Technology, Engineering, or Mathematics discipline from an accredited college
  • At least 4 years of research or work experience in deep learning techniques and frameworks
  • Strong Background in Machine Learning (Deep Learning)
  • Proficient in one or more programming languages such as MATLAB, Java, C++, or Python
  • Familiar with one or more machine learning or statistical modeling toolkits
  • PhD within a Science, Technology, Engineering, or Mathematics discipline from an accredited college
  • Basic understanding of autonomy and artificial intelligence, including multi-agent systems, knowledge representation and reasoning, planning, plan recognition and decision making
  • Experience with multi-player PC or consol gaming (e.g. Starcraft)
  • Experience programming for GPUs
132

Director of Machine Learning Software Engineering Resume Examples & Samples

  • Provide leadership and direction setting for an Engineering group responsible for delivering software solutions that embody Cognitive Computing and Machine Learning Capabilities & Features
  • Drive resources to leverage existing frameworks and standards, contribute input for improving existing ones and support the creation of new where they don't exist
  • 3+ years of leadership experience (including leading and mentoring technical team members, and budget responsibility)
133

Senior Machine Learning Software Engineer Resume Examples & Samples

  • Knowledge of Hadoop, Hive, Redshift, Spark or other big data tools
  • Proficiency in Java or C++
  • LI-RF1
134

Senior Research Engineer Machine Learning & Artificial Intelligence Resume Examples & Samples

  • Vehicle Network Systems
  • Wireless communication
  • Artificial Intelligence (AI) and Machine Learning technologies
  • High competence in communication and networking
  • Composing technical and research results reports and documentation
  • Presenting technical result
  • Interacting with stakeholders at different levels
  • Fluent in English, spoken and written
  • Technical competencies
  • Sensor Fusion, Artificial Intelligence, Machine/Deep Learning
  • Communication protocols
  • IP, Cellular Network Protocols and Short Range Communication (802.11p)
  • Embedded Software Development in C++
  • Linux, QT and generic development platforms
  • To be successful we believe You need minimum 5 years of experience in development/integration of embedded real-time software
135

Data Analyst Machine Learning Resume Examples & Samples

  • You are responsible for the design and implementation of innovative technologies and algorithms from an idea to a software system
  • Analysis and identification of new data related business opportunities in the manufacturing area (Internet of Things) are part of your job description
  • You develop complex algorithms by utilizing modern approaches from the domains of machine learning and advanced data analytics in general
  • You play a leading role in the interpretation and analysis of data from complex technical systems
  • The identification of new technological advances and the development of own invention disclosures complete your field of responsibility
  • You hold an University degree (PhD degree is a plus) in computer science, bioinformatics, mathematics, physics, or engineering sciences (thesis in the field of Machine Learning and especially Deep Learning is a plus)
  • You already have 3 or more years of work experience and expertise with technologies, algorithms and methodologies in the areas of Data analytics and Machine Learning especially Deep Learning (publication record is a plus)
  • Experience with project work in the research and development area especially in the domain of data discovery and data science is highly appreciated
  • You have knowledge of and experience with modern analytical frameworks, libraries and analytical development frameworks
  • You have experience with software development process and good programming skills in particular Python and Java combined with knowledge of analytical libraries, experience with Agile is a plus
  • Advanced experience with massive parallel processing (Hadoop, Spark) and stream analytics (Storm, Spark Streaming) as well as relational databases is appreciated
  • You have detailed knowledge of machine engineering, experience with control systems is a plus
  • Advanced speaking and writing skills in English (German is a plus) complete your working profile
136

Machine Learning Engineering Lead Resume Examples & Samples

  • Design and develop effective machine learning & statistical model for Predictive and Prescriptive Analytics applications
  • Work with peer technical leads, researchers, architects and product owner to gather business requirements and define technical specifications and plan for developing and deploying solutions
  • Derive experiments to validate assumptions and hypothesis
  • Perform proof-of-concept model for analyzing millions of user action records
  • Analysis and present your discoveries and insights to your peers and management
  • Mentor other developers on data mining and predictive analytics best practices
137

Senior Manager Machine Learning Expert Resume Examples & Samples

  • The position is located at client’s site in US
  • Deliver high intensity projects in individual capacity
  • Work on Machine Learning related projects
  • Also, train the client team members on machine learning and advanced analytical techniques
  • Someone who has built as well as implemented machine learning models
138

Machine Learning Research Engineer Resume Examples & Samples

  • Strong computer science and mathematics grounding, with knowledge of data structures, algorithms and computer architectures
  • Hands-on experience with machine learning technologies. Examples include IBM Watson, Stanford’s DeepDive or Apache Spark
  • Excellent communication, teamwork and leadership skills
  • Experience with big data technologies such as Hadoop, NoSQL databases, etc
  • Experience with natural language processing systems such as Google Prediction
  • Experience developing production software in a corporate environment and/or delivering research prototypes to such organizations
139

R&D Manager, Machine Learning & Analytics Resume Examples & Samples

  • Ph.D. in Computer Science, Mathematics, Electrical Engineering or other relevant field with an emphasis on analytics, machine learning and/or artificial intelligence
  • Experience in designing or adapting statistical analytics and machine learning for scalable high performance computing
  • Proficiency developing in one or more languages such as C#, C++, Python or Java
  • Experience developing productive relationships
  • 3+ years of software research project management experience
  • Ability to manage to deadlines multiple projects simultaneously
  • Background in electronics and electronic test equipment
  • Hands-on experience in big data technologies such as Hadoop, Apache Spark, NoSQL databases, etc
140

Machine Learning Researcher Resume Examples & Samples

  • Ph.D. in Computer Science, Mathematics, Electrical Engineering or other relevant field with an emphasis on machine learning and/or artificial intelligence
  • Experience in designing or adapting machine learning for scalable high performance cognitive computing
  • Hands-on experience with machine learning technologies. Examples include IBM Watson, Stanford’s DeepDive or Google Prediction
  • Proficiency developing in one or more languages such as C#, C++, Python, MATLAB or Java
  • Track record of innovation and research contribution as shown by peer-reviewed journal publications
  • Self starting, requiring minimal supervision with strong problem solving skills
141

Machine Learning Senior Software Developer Resume Examples & Samples

  • Act as a point of contact for Machine Learning methods and tools, and lead their adoption in various security research teams
  • Architect, develop, and integrate ML models to improve IBM-Trusteer's security protection for its clients (phishing detection, behavioral profiling, malware analysis, etc.)
  • Implement proof of concepts for ML solutions to real-world cybercrime problems
  • Measure and improve existing algorithms
  • Graduate Degree in engineering, computer science or other technical related field
  • At least 4+ years development & architectural experience in one or more general purpose programming languages
  • Experience in machine learning algorithms and/or anomaly detection
  • Strong statistical analysis and mathematical skills
  • Solid understanding of the theory underlying Machine Learning algorithms and methods
  • Independent, highly motivated and creative
  • Dynamic and agile. Capable to adjust quickly to changing requirements, and the ability to deliver rapid & agile solutions
  • Experience with one or more general purpose programming languages including but not limited to: Java, C/C++, Python, JavaScript, or Go
  • Experience in backend development of large, distributed software systems
  • Prior experience in the security domain
  • Team management experience
142

Machine Learning Technology Consultant, Mid Resume Examples & Samples

  • Level decision
  • Makers. Conduct background research to evaluate the feasibility and defense applications of new technological concepts. Produce and present findings and recommendations to a team of colleagues and clients. Assist with technical program management, program development, and briefing materials for government R&D efforts
  • Ability to work in a Fast-paced environment
  • Experience with government
  • Sponsored research activities
  • Knowledge of the current state
  • The
  • Art in hardware implementations, including CPU and GPU for training and execution learning algorithms
143

Machine Learning Team Leader Resume Examples & Samples

  • MSc in Electrical Engineering or Computer Science from a known university
  • PhD in Electrical Engineering or Computer Science from a known university – an advantage
  • 2+ years’ experience of managing Algorithm development teams
  • 5+ years hands on experience as an algorithm engineer
  • Deep knowledge of algorithm development technologies, methodologies
  • Proven experience in Pattern recognition, Machine Learning and Deep Learning
  • Experience in collaboration with Academy and companies- an advantage
  • 5+ Matlab programming
  • 5+ C++ programming
  • 2+ Python programming
144

Director of Advanced Data Analytics & Machine Learning Resume Examples & Samples

  • M.S. or Ph.D. with specialization in one of the following: Advanced Data Analysis, Statistical Modeling, Machine Vision, or Machine Learning
  • Minimum 10 years of relevant experience, including at least 5 years as Engineering-Manager in an Industrial setting
  • Experience in a startup environment is desired but not required
  • Proven track record of developing hi-tech innovative products embedding Advanced Data Analysis and Deep Learning technologies
  • Proven experience in supervising and leading large teams of scientists and engineers to bring new innovative products and services to the marketplace
  • Proven experience in doing hand-on engineering or technical work in the above desired fields
  • Proven experience in growing a group by attracting and hiring tier-1 scientific and engineering talent
145

Senior Machine Learning Software Development Engineer Resume Examples & Samples

  • Responsible for the development and maintenance of key ML system features
  • Will work with other team members to investigate design approaches, prototype new technology and evaluate technical feasibility
  • Will work in an Agile/Scrum environment to deliver high quality software against aggressive schedules
  • BS/MS in Computer Science or equivalent
  • 7+ years of industry experience, including in machine learning projects
  • Experience building scalable infrastructure or distributed systems for commercial online services
  • Strong sense of ownership, customer obsession, and drive
  • Mastery of the tools of the trade, including a variety of modern programming languages (Java, JavaScript, C/C++, Objective C, Python, Ruby) and open-source technologies (Linux, SQLite, OpenGL, Spring, Hadoop, Spark, Mesos, Rails)
  • Experience developing machine learning software and an understanding of design for scalability, performance and reliability
  • Sharp analytical abilities and proven design skills
  • Experience in data modeling and analysis, especially with distinctive data sources
  • Excellence in technical communication with peers and non-technical cohorts
146

Machine Learning Researcher Resume Examples & Samples

  • Strong academic and publication record
  • Deep technical skills in machine learning, deep learning, computer vision, natural language processing, or artificial intelligence
  • A passion for creating innovative techniques and making these methods robust and scalable
  • Ability to explain and present deep technical ideas
  • Creative, collaborative, & innovation focused
147

Manager, Machine Learning Resume Examples & Samples

  • Manage the day-to-day activities of the engineering team within an Agile/Scrum environment
  • Hire and develop top-performing engineers
  • Develop and execute on project plans and delivery commitments
  • Work with business leaders to help define product requirements and with engineers to execute on them
  • Build and maintain world-class customer experience and operational excellence for your deliverables
  • 7+ years of relevant engineering experience
  • 2+ years of people management experience
  • Experience with OOD and object oriented languages
  • Computer Science fundamentals (based on a BS or MS in CS or related field)
  • Proficiency in at least one modern programming language such as C, C++, C#, Java, or PERL
148

Software Developer, Machine Learning Resume Examples & Samples

  • Develop research in machine learning applications
  • Independently build, test and integrate various prototypes
  • Manage both self-identified and assigned projects (planning timeline controlling budget and capacity, documenting project and process)
  • Prepare and present projects status reports to BMW project partners and management both domestically and internationally
  • Manage exploration projects with high-tech partner companies and BMW departments to quickly evaluate different ideas
  • Identify, specify and arrange for purchase novel software and hardware tools required for development
  • Because of the international development process, the ideal candidate will be comfortable working independently and effectively in a team environment and must have excellent communication skills and an attention to detail
149

Team Lead-machine Learning & Scalable Computing Resume Examples & Samples

  • Build a small yet highly productive team to support the vision and mission for proliferating practical machine learning and scalable computing techniques at Ford Motor Company
  • Lead by example via training, consultancy and hands-on technical work
  • Develop strategies for community learning and knowledge management in the related analytics domains
  • Share and present work to cross-functional teams and execute leadership
  • Develop strategies and best practices for leveraging Ford’s heterogeneous data sources and large-scale computing resources
  • Master’s degree in a quantitative field such as Computer Science, Computer Engineering, Statistics, Economics, Mathematics, Physics
  • 5+ years of experience with distributed computing, machine learning, or data processing
  • 5+ years of experience with scalable solution design and development
  • 5+ years of experience with consulting and professional services practices
  • 5+ years of experience in at least two of the following languages: Java, Scala, Python, SQL, C/C++
  • Ph. D. in a quantitative field such as Computer Science, Computer Engineering, Statistics, Economics, Mathematics, Physics
  • 2+ years of experience with Agile Software development
  • 2+ years of experience with NoSQL tools such as Solr/Elastic
  • 2+ years of experience with Functional Programming
  • 2+ years of experience with environment configuration and software development on Linux based systems
  • Scientific thinking and the ability to invent
150

Machine Learning / AI Architect, West Region Resume Examples & Samples

  • Minimum 3 years of experience utilizing statistics, data analytics, machine learning, or natural language processing
  • Minimum 5 years of experience in developing innovative approaches and new algorithms to solve difficult business problems
  • Minimum 1 year familiarity with general AI capabilities, including virtual agents, robotic process automation, and video analytics, among others
  • Experience distilling and presenting complex concepts to a business audience. Experience with IBM Watson AI capabilities
  • Proven ability to work creatively and analytically in a problem-solving environment
  • Critical thinking skills to assess how AI capabilities can best be applied to complex business situations
  • Excellent communication (written and oral) and interpersonal skills
151

Head-artificial Intelligence & Machine Learning Resume Examples & Samples

  • Stay ahead of the curve on AI, develop a point of view, publish in peer reviewed journals and file patents
  • Solve real world client relevant business problems
  • Hire, motivate, and develop data scientists
  • A Ph.D. in Computer Science, with focus on Artificial Intelligence, Machine Learning, Deep Learning, or Natural Language Processing (or highly experienced B.Tech, M.Tech and M.Sc graduates from top programs in CS, EE, Statistics, Econometrics, Math, Physics)
  • Expertise in applying artificial intelligence methodologies to real world business problems
  • Experience in general purpose programming language like Python or C
  • Strong problem-solving skills and ability to think creatively
  • Ability to work in unstructured and ambiguous environment
152

Machine Learning Performance Intern Resume Examples & Samples

  • Candidates must be pursuing a master's level or a PhD level degree in a technical discipline
  • Experience implementing machine learning algorithms
  • Knowledge of C++
153

Machine Learning & AI Developer Resume Examples & Samples

  • Analyzes, designs, programs, debugs, and modifies software enhancements and/or new products used in local, networked, or other programs
  • Code may be used in commercial or end-user applications, such as materials management, financial management, HRIS, or desktop applications products
  • Using current programming language and technologies, writes code, completes programming, performs testing, and debugging of applications
  • Completes documentation and procedures for installation and maintenance
  • Collaborates with technical and non-technical associates to understand user and organizational needs specific to at least one system process or component on projects within manager’s domain
  • Completes coding using proper coding and quality standards
  • May interact with users to define system requirements and/or necessary modifications
  • Good knowledge in the following areas: o Technical knowledge in software development methodologies
154

Machine Learning Software Dev Engineer Resume Examples & Samples

  • BS in Computer Science or related field with 1+ years of relevant work experience
  • Strong object-oriented design and coding skills (Java, Python, and/or C++) preferably on a Unix or Linux platform
  • Deep understanding of data structures, algorithms and distributed systems
  • You have implemented distributed algorithms that operate on one or more GPUs, preferably using the CUDA platform
  • You have a solid understanding of matrix and vector mathematics. You have experience developing software that uses linear algebra libraries such as BLAS and LAPACK
  • Experience deploying applications within software containers
  • You're familiar with AWS technologies from a customer perspective
155

Machine Learning Resume Examples & Samples

  • Analyze source data and data flows, working with structured and unstructured data
  • Manipulate high-volume, high-dimensionality data from varying sources to highlight patterns, anomalies, relationships and trends
  • Apply AI/Machine Learning technology to solve real-world problems
  • Analyze and visualize diverse sources of data, interpret results in the business context and report results clearly and concisely
  • Execute both descriptive and inferential ad hoc requests in a timely manner
  • Communicate and present models to business customers and executive
  • Work collaboratively with different business partners and be able to present result in a clear and concise manner
  • Teach and mentor others in the use of AI/Machine Learning
  • Bachelor’s degree in a field such as Computer Science, Computer Engineering, Statistics, Economics, Mathematics, Physics
  • 2+ years of experience of functional programming with Python, Scala or LISP
  • 2+ years of experience with SQL, Spark, Hadoop
  • 2+ years of experience with Machine Learning and Artificial Intelligence techniques and tools such as neural networks, regression, classification and clustering
  • 2+ years of experience with data sources and platforms (Unix/Linux, Teradata, Hadoop, Oracle, SQL Server and DB2)
  • Master's Degree or PhD in a quantitative field such as Computer Science, Computer Engineering, Statistics, Economics, Mathematics, Physics
  • Demonstrated ability in the application of Machine Learning/AI in real-world industrial settings with large scale data
  • Experience with Deep Learning tools such as TensorFlow and Caffe on NVidia DevBoxes
  • Experience with Agile software development
  • Experience with parallel/grid computing is a plus
  • Experience with contributing to open source projects is a plus
  • Strong oral and written skills
156

Machine Learning Resume Examples & Samples

  • Contribute to evolving the technical direction of Ad Quality Systems and play a critical role their design and development
  • Build and support billing pipeline responsible for handling all revenue impacting events in Sponsored Ads in real-time
  • You will research, design and code, troubleshoot and support. What you create is also what you own
  • Develop the next generation of automation tools for monitoring and measuring Ad Quality, with associated user interfaces
  • Have the satisfaction of seeing your work impact hundreds of millions of Amazon customers and thousands of Amazon merchants in several countries
  • Be able to broaden your technical skills and work in an environment that thrives on creativity, efficient execution, and product innovation
  • Bachelors (BS/BE) in Computer Science or related field
  • 3+ years of experience in software development and full product life-cycles
  • Top notch coding skills in Java and/or C++ coupled with strong base in object-oriented design and SOA
  • Strong proven ability in building high-performance, highly-available and scalable distributed systems
  • Demonstrated experience in SQL and data modeling skills
  • Proficiency with at least one of these scripting languages: Perl / Python / Ruby / shell script
  • Strong sense of ownership and drive
  • Sharp problem solving skills and ability to resolve ambiguous requirements
  • Strong knowledge of data structures, algorithms, and designing for performance, scalability, and availability
  • Ability to learn new technologies and systems
  • Advanced Degree (MS/ME/PhD) in computer science or related discipline or 4+ years of relevant industry experience
  • Expertise in Map/Reduce systems such as Hadoop / Hive / Flume
  • Experience in Machine learning or web crawling
  • Knowledge of HTTP Protocol, REST, XML, J2EE, JavaScript, AJAX a plus
  • Familiarity with Pay for performance Ad model and the Internet advertisement industry is a plus
  • Experience with Amazon Web Services is a plus
157

Image Processing & Machine Learning Intern Resume Examples & Samples

  • Image processing and computer vision
  • Machine learning
  • Deep learning
  • Mathematical background
  • Python and C++
  • Experience with TensorFlow and/or other deep learning libraries
  • Ability to iterate quickly and think outside the box
  • Experience with shaders
  • An artistic touch ;)
158

Machine Learning Expert for Speech Research Resume Examples & Samples

  • PhD in Electrical Engineering/Computer Science or related fields. Outstanding M.Sc. candidates can also apply
  • Academic background in relevant areas, in particular machine learning. Previous experience related to speech and additional background in deep learning is an advantage
  • Industry experience and strong programming skills in C++, Matlab are an advantage
159

Private Machine Learning Server Engineer Resume Examples & Samples

  • 3+ years practical background in server software engineering and distributed systems
  • Proven track record delivering production software
  • Deep fluency in Java, C++, or another production language
  • Experience with Spark, Hadoop, MPI, or other distributed frameworks
  • Solid mathematical knowledge; understanding of machine learning or statistical inference a plus
  • Strong initiative and independence
160

Machine Learning Software Engineer Resume Examples & Samples

  • MS or PhD in Computer Science, Electrical Engineering or a quantitative field
  • Ability to partition algorithms across highly parallel computing platforms, and to analyze and benchmark performance of the resulting implementation is core to this position
  • Implementation of complex signal processing on at least one of the following platforms: FPGAs, ASIC, ASSP, GPP, GPU, DSP
  • Familiarity with techniques for optimizing CNNs to minimize off-chip memory bandwidth requirements, storage requirements and to minimize compute requirements
  • Experience with programming languages including but not limited to C/C++ and Python
  • Experience with Tensor Flow, Caffe, Theano or other similar frameworks would be an advantage
  • Experience with machine learning algorithms, deep convolutional networks (DCNN), recurrent and other networks is advantageous for this position
  • Knowledge of network training algorithms and state-of-the-art techniques for CNN weight compression, quantization, binary networks, and pruning strategies are highly desirable
  • Implementation experience of DCCN in software and/or hardware (ASIC); realization of these algorithms is highly valuable
  • DSP processor design experience would also be looked upon favorably
161

Machine Learning Product Manager Resume Examples & Samples

  • B.S / B.A degree with a strong academic record
  • 3+ years working in Product Management, including multiple years in a STEM field
  • Experience writing detailed product requirements
  • Bilingual in tech and layperson, and able to collaborate with cross-functional teams
  • Experience working in Agile/Scrum environments
  • A/B testing and metrics analysis
162

Machine Learning Intern Resume Examples & Samples

  • Currently pursuing a Masters or PhD in Computer Science, Mathematics, Statistics, or Physics (Machine Learning or Deep Learning is a plus)
  • Proven programming skills such as SAS, Python, Lua, R, C, or C++
  • Experience with ML libraries such as scikit-learn or DL frameworks such as TensorFlow
  • Able to work 15-20 hours a week during the school year in the Cary, NC Office (Must be attending a school local to that area)
  • Not graduating prior to May 2017
163

Machine Learning Expert Resume Examples & Samples

  • Explore, understand, and implement most recent algorithms and approaches for supervised and unsupervised machine learning
  • Understand business processes which create and consume data so as to be able to select best approaches, evaluate their performance and asses business relevance
  • Create excellence both in terms of results quality and system scalability through continuous evaluation, analysis and refinement of the system implementation
  • Master degree in Computer Science, Mathematics, Statistics, Operations Research or related field
  • Track record of developing novel learning algorithms and/or systems
  • Experience with Machine / Deep Learning software packages such as TensorFlow/MXNet/SparkML
164

DBS APJ SII Lead-iot & Machine Learning Resume Examples & Samples

  • Relevant professional degree, as well as adequate career in the industry
  • Profound knowledge of the SAP Services business for the respective area & internal processes
  • Proven leadership of organizations, teams and individuals
  • Very strong analytical, and conceptual skills
  • Pro-active driver, team-player, results-oriented, with a can-do attitude
  • Strong business and commercial acumen
  • Works, collaborates and influences key stakeholders across organizational layers
  • Excellent communication and presentation skills in English
  • Overall management responsibility of the APJ l IoT business (end-state: 25 digital references by end 2017, helping win the deals, helping GCD plan the work force in every MU, working with License) covering the entire DBS-portfolio with strong leadership in operational management/-excellence as well
  • Accountable for business planning
  • Drive the adequate Service- / Delivery- / Skill-Mix for efficient and successful delivery to customers
  • Collaborate with Universities, Research Institutes, other companies regarding all elements of Machine Learning & IoT
  • Decision making and de-escalation in critical cases
  • Active support of customer engagements in executive sponsor roles in collaboration with
  • Minimum 10-12 years in services delivery
  • At least 8 years as a manager
  • 2-3 Years of Experience in ML / IoT-related areas
165

Program Consultant for Machine Learning Resume Examples & Samples

  • 1) Experience with program and delivery management
  • 2) Having a network throughout SAP to successfully go through the SAP Cloud Cycle
  • 3) Ability to work in an innovative environment facing so far unknown challenges
  • 4) Guide agile development teams through SAP standard software development processes and SAP Cloud Cycle
  • Support the program in the execution of the product definition and delivery process, including expectation, risk and change management
  • Coordinate and track the standard software development lifecycle tasks and product standards in Sirius in order to ensure Machine Learning product delivery in time, quality, and scope
  • Guide project/product teams through SAP Cloud Cycle processes and ensure compliance
  • Represent the Machine Learning program in the release planning of the SAP products which integrate Machine Learning application as extension (i.e. S/4HANA, SuccessFactors, Concur, Ariba, etc)
  • Drive cross unit alignment regarding Machine Learning products and services and cross program administration tasks
  • Prepare and provide management reporting on program and product level, perform monitoring of critical topics and activities
  • Understand the machine learning products to bring to the market to provide the best possible go-to-market consulting
  • Pick-up other varying Machine Learning cross tasks over time
  • Degree in Computer Science, Information Systems, Business administration or related field
  • Track record of SAP program and project management experience
  • Knowledge of the SAP Cloud Cycle, Corporate Standards and Shipment Channels
  • Knowledge of JIRA and Sirius
  • Ability to handle exceptions and manage escalations and excellent analytical skills
  • Network within SAP to tackle all portfolio relevant issues paired with good stakeholder management and negotiation skills
  • Excellent verbal and written communication skills in English language. German is an advantage
166

Software Engineer, Machine Learning Resume Examples & Samples

  • Explore Machine Learning open source/commercial solutions with focus on neural MT
  • Develop prototypes and validate the results
  • Contribute to the production solutions’ development, testing and deployment
  • Document and communicate the intent and the results in clear terms to both technical and non-technical team members
  • Keep current with latest trends and technologies to anticipate future development needs and requirements
  • Collaborate closely with various groups throughout the company and across multiple geographic locations to deliver outstanding solutions and offerings
  • Team player, yet responsible for owning deliveries
  • BS/MS in Computer Science with a background in Machine Learning, Artificial Intelligence or related technical field
  • Hands-on experience in Machine Learning, Artificial Intelligence and data analytics techniques
  • Knowledge of one or more open-source Machine Learning framework
  • Good hands-on experience in one or more of the following languages: Python, Java, Scala
  • Familiar with Linux/Mac environment
  • Ability to quickly adapt to new situations and to learn new technologies
  • Ability to collaborate and communicate effectively with a multicultural local and remote team
  • Excellent written and oral communication skills in English
  • Experience with machine translation
  • Hands-on experience in Object-Oriented design and programming
  • Familiar with Agile development practices, Continuous Integration, collaborative development environments and version control systems such as git
167

Software Development Engineer Alexa Machine Learning Platform Resume Examples & Samples

  • Proficiency in data structures, algorithm design, problem solving, and complexity analysis
  • Development experience in a Unix/Linux environment
  • Experience designing, building, deploying, operating, scaling, and evolving distributed systems
  • Mastery of a variety of modern programming languages (Java, JavaScript, C/C++, Objective C, Python, Ruby) and open-source technologies (Linux, SQLite, OpenGL, Spring, Hadoop, Spark, Mesos, Rails)
  • Strong sense of ownership, urgency and drive
  • Demonstrated leadership abilities in an engineering environment in driving operational excellence and best practices
  • Demonstrated ability to achieve stretch goals in a highly innovative and fast paced environment
168

Head of Machine Learning Resume Examples & Samples

  • Ensuring that the measurement practice leverages state of the art technology in machine learning to measure effectiveness of advertising
  • Develop and deploy library of decision making and machine learning algorithms for advertising measurement
  • Build econometric models required to retrospectively measure the financial impact of mass advertising spend, and inform volume and mix of future spend
  • Calibrate models through carefully designed experiments
  • Objectively raise the bar on applications of machine learning for advertising measurement and optimization
  • 10+ years work experience including a combination of building scalable software systems and managing machine learning infrastructure or PhD with 8+ years of work experience. At least 5 years in software development industry
  • Experience with big data technologies
  • Experience using one of R, MATLAB (or similar tools) is required
  • Experience developing production code in C++/Java
  • Experience using optimization algorithms for decision making
  • Bachelor’s degree or equivalent professional experience
  • Experience with consumer-level data analyses
  • Experience with mass advertising datasets
  • Consumer Electronics experience, both US and international
  • Experience handling large datasets
  • Candidates with a Ph.D. in a relevant field are preferred
  • Master’s degree in engineering, computer science or a similar quantitative field
169

Principal, Machine Learning Resume Examples & Samples

  • Develop prototypes by manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
  • Work closely with Business, Product and Technology teams to model real-time experiments, implementations and new feature creations
  • Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
  • Research and implement novel machine learning and statistical approaches
  • Counsel/Advise partners/users on data capabilities and potential short-comings
  • Proficiency in Machine Learning related technologies (Python, Spark MLib, Spark/SparkR, Hadoop, etc.)
  • Ability to partner with executives, business stakeholders and product managers to define roadmaps and to translate business needs into machine learning solutions
  • Deep and applied experience leveraging data science and machine learning to solve business need
  • Use machine learning, deep learning, reinforcement learning, statistical techniques to create scalable solutions
  • Experience with algorithm development, data processing, statistical analysis and validation
  • Proven track record of overseeing multiple data science and machine learning initiatives from idea generation to objectives formulation to implementation and deliverables
  • Excellent communication and persuasion skills
  • Bachelor's with significant experience, but preferably a Master’s degree, Computer Science or a related quantitative field
  • Advanced degree in CS Machine Learning, Statistics, or in a highly quantitative field
  • 8+ years of hands-on experience in machine learning and large data analysis
  • 10+ years of experience using Python, R, Java in both a Linux/UNIX environment
  • Strong programming skills in object oriented programming language (Java, Scala, Python, R, etc.)
  • Experience in implementing the models that handle terabytes of data
  • Proven record of applying Advance Analytics/Machine Learning to advance company initiatives
  • Proven record of delivering results
  • Strong communication and data presentation skills
170

Principal Engineer, Machine Learning Resume Examples & Samples

  • Using state of the art machine learning tools, design/develop advanced algorithms for enhancing the performance of audio transducers
  • Using emerging machine learning tools, design/develop algorithms that will match and exceed human capabilities in speech recognition, detection and classification
  • Evaluate and develop new audio applications for areas such as: virtual reality (VR), 3D-audio playback and recording, multi microphone and multi speaker arrays for localization and beam-forming, voice control interfaces and AI
  • Design real-time audio applications and demos using real-time DSPs, Matlab tools, and Virtual Studio Technology (VST) applications
  • Develop and integrate audio DSP algorithms and technologies for the professional audio, consumer and mobile environments
  • Create IP for systems and technologies
  • Technology scouting, to find and evaluate emerging technologies
  • Conduct feasibility studies. Present technology demonstrations
  • Collaborate with peers inside and external to HARMAN, both in the local office and in facilities globally
  • Manage projects and technical resources, including planning, estimating and follow through using agile management
  • PhD degree in Engineering or related field and 4 years of experience in corporate or academic research; alternatively, Master’s Degree in above mentioned fields and 8 years of experience in research and development or Bachelor’s Degree and 12 years’ experience
  • 4+ or more years of experience in the audio and/or DSP related field
  • Good working knowledge of machine learning concepts- data training methods, network generalization methods, neural network architectures for machine learning
  • Experienced with C language programming for DSP applications
  • Experience in digital signal processing, in particular speech and audio processing
  • Good working knowledge of MATLAB
  • Experience in developing proof of concept strategies
  • Experienced working within an agile development framework
  • Exemplary verbal and written communication skills
  • Creative problem-solver capable of creating new techniques, technologies and methods
  • Capable project management and time management skills
  • Expertise in machine learning areas, in particular acoustic/speech applications
  • Expertise in speech and audio processing areas, in particular, speech enhancement and noise mitigation
  • Passion for audio and music
171

Computer Vision & Machine Learning R&D Engineer Resume Examples & Samples

  • Strong machine learning background, with hands-on experience in building real systems
  • Strong background in mathematics and/or statistics is highly desirable
  • Demonstrated ability in both research and development
  • Experience integrating machine learning algorithms into applications
  • Strong C and C++ coding skills
  • Strong command-line proficiency (posix tools, scripting, git)
  • Experience in signal processing, computer vision, and other related applied engineering fields a plus
  • Proficiency and experience in these languages are highly desirable: Python, Matlab, Objective-C, Swift, GPGPU (Cuda/OpenCL/Metal)
  • OS X and/or iOS development experience a plus
  • Ability to work hands-on in cross-functional teams with a strong sense of self-direction
172

Technical Sourcer, Machine Learning Resume Examples & Samples

  • 3+ years technical sourcing experience with a search firm or in-house recruiting team
  • 1+ years software engineering recruiting experience
  • Research/sourcing skills with ability to dive into searches to fill requisitions
  • A candidate engagement approach with ability to activate passive candidates
  • Interview skills with ability to screen for both technical and cultural qualities
  • Tech and industry knowledge with ability to understand relevant tech skills, target companies, conferences, open source communities
173

Postdoctoral Researcher Machine Learning Based Cardiology Fixed Term Resume Examples & Samples

  • Ph.D. in Mechanical or Electrical Engineering
  • Track record of research publications in high-quality journals and conferences
  • Proven ability to collaborate in research teams
  • Ability to work with and maintain close connections with other teams around the world
174

Pe-big Data / Machine Learning Resume Examples & Samples

  • 8 to 10 yrs of experience including 4 to 5 yrs on hadoop, machine learning,cloud and NoSql areas
  • Demonstrable excellence in innovation, problem solving, analytical skills, data structures and design patterns
  • Experience in refactoring and re-engineering of enterprise systems and good understanding of functional aspects
  • Extensive experience with Hadoop and Machine learning algorithms
  • Extensive experience working with Oracle, SQL, PL/SQL and Data Warehousing
  • Strong programming skills in Java/Python and Linux
175

Senior Product Manager Machine Learning & Time Series Resume Examples & Samples

  • Work with various product development and design teams to formulate our product vision, strategy, product roadmap, define new experiences, and enhance existing functionality
  • Defining and prioritizing a backlog of work including the creation of stories for new features and enhancements to existing functionality, and improving product quality by tracking the rate of defects
  • Work with global 2000 customers, some of the best brand names in the world, to determine needs, unmet needs, business goals, product usage, and refine ideas with concepts and product feedback
  • Be the voice of the customer, providing customer and business value perspective during day-to-day conversations with development
  • Coordinate across multiple stakeholders (engineering, marketing, customers and partners) to understand needs, manage expectations and feature tradeoff decisions
  • Collaborate with Product Marketing to produce product overview, licensing, and other go-to-market materials
  • Maintain a firm grasp of the competitive landscape and identify areas of competitive differentiation for internal consumption and competitive programs
  • Work with User Learning (Help files and documentation), Training, and Support and Professional Services to assure smooth uptake and adoption
  • 5+ years of experience as a Product Manager, Product Owner, Consultant or technical Product Analyst in a commercial software product company
  • 3+ years of experience with reporting, analytics, business intelligence, and big data
  • The ability to learn new technical concepts quickly
  • The ability to make trade-off decisions between possible and desirable, which requires a good sense of what is technically feasible
  • The ability to context switch between future product planning and current product adoption activities
  • The discipline to focus on high leverage activities. This means you must be good at saying 'no' and having people be ok with it, which means you must be good at articulating how your high leverage work will benefit them
  • Passion about our products and the possibilities the come from building a world class ecosystem of customers and partners
  • The ability to generate ideas for how our products can make our customers more successful
  • Must enjoy working in a highly collaborative environment
  • Comfortable delivering product presentations to large audiences
176

Data Trend Analysis With Machine Learning Algorithms Resume Examples & Samples

  • Responsible for creating and demonstrating a proof-of-concept for Business stakeholders
  • Responsible for delivering the information standard to the Business Owner and developing a robust maintenance process for the solution
  • Responsible for ensuring alignment of the information solution with existing IT and Enterprise Architecture strategies
  • Six sigma data analysis capability, trend analysis
  • An ability to decompose business strategies to the information layer
  • The capability to communicate with Business stakeholders in their terms
  • Capability to rapidly understand the current business technology landscape in order to hold credible discussions with the business and effectively represent IM
  • Solid experience in understanding at least 2 different business teams (Engineering, Manufacturing, Purchasing etc.) and their information needs
  • Demonstrated proficiency with VBA, VB6.0, .Net, Java, PL-SQL, MS-Access/SQL-Server/Oracle database, Machine Learning algorithms and at least one scripting language (ASP.Net, JavaScript)
  • Hands on experience coding for Microsoft and Java technologies with RDBMS and its ecosystem technologies
  • Leadership skills to supervise and lead Information Management projects
  • Ability to develop executive level support for expected benefits from IM technology
  • Post-graduate degree in Engineering / Manufacturing Systems / Systems Theory, Business Administration, or academic equivalent
  • Proven business value analytics capability to robustly examine large data sets and highlight patterns, anomalies, relationships and trends
  • Demonstrated experience and expertise in conceptual thinking of how to apply information solutions to a business challenge
  • Excel analysis and visual basic macro development
  • Ability to manage deliverables according to a robust project plan
  • Evidence of being able to transfer technology to business stakeholders
  • Technical advisor to peers and colleagues within the function
  • Demonstrated leadership and teamwork Backfill candidate has already been identified
  • Computer Science or related
177

Machine Learning Researcher Resume Examples & Samples

  • Develop the team’s capabilities in data science and machine-learning, and apply them to create new data-driven insights
  • Create innovative, systematic investment signals and strategies based on a rigorous, peer-reviewed research process
  • Work with every investment team in MBFI (Credit, Macro, Equities, RV, Securitized, Mid-horizon etc.) to introduce cutting-edge techniques and innovative data sources across the Fund
  • Contribute to broader research initiatives across BlackRock
  • 0-3 years’ experience in quantitative analysis or similar role
  • Practical experience of working with large and complex datasets – preferably but not necessarily in a finance context. An enthusiasm for exploring, analyzing and enhancing data
  • Practical experience of applying statistical/machine learning methods – again preferably but not necessarily in a finance context
  • Formal training in a numerate discipline such as Mathematics, Statistics, Quantitative finance, Statistics, Economics/Econometrics etc, to at least Masters level
  • Very strong experience in quantitative programming/research: Python preferred (MATLAB and R knowledge also helpful
  • Strong experience in working with databases and related tools
178

Machine Learning Expert Cto Module Lead Blr Resume Examples & Samples

  • 2+ years of experience in application of Machine Learning or adjacent areas such as computer vision, natural language processing for text mining etc
  • Exposure in both the theory and practice of machine learning techniques (supervised and unsupervised learning, Artificial Neural Networks, Belief networks etc.)
  • Prior experience with a (m)any of the following models: Logistic Regression, Linear Regression, Support Vector Machines, Multi-level/Deep Neural Networks , Hidden Markov Models, Conditional Random Fields, Random Forests, Time series Models, Social Network models
  • Ability to decide, articulate what machine learning algorithms / techniques would be most suitable for a given problem scenario
  • Programming expertise in Python (Mandatory)
  • Good to have programming languages exp in (C++, R and Matlab / Octave) in UNIX/Linux environments
  • High self-motivation, focus and enthusiasm to gather & prepare data to the required format for ML models and validate
  • Experience working in any or more of industry verticals like Retail, Consumer Products, BFSI, Travel and Logistics
  • High integrity
  • Strong analytical and problem-solving skills, along with the creativity to work around road blocks
  • Ability to articulate strategy & direction effectively in a team environment
  • Learning Attitude and team player
  • As a individual contributor you will be responsible for building models to derive insights from large amounts of diverse data
  • Gather, process and analyze large dynamic real-world data sources
  • Define reusable components/frameworks, standards to be used & tools to be used and help bootstrap the engineering team
  • Identify areas, conceptualize, prototype and prove benefits in turning ideas into machine learning models in the domain of Mindtree customers
  • Transfer knowledge gathered through Proof of Concept solutions to full solution implementation team
  • Develop new and customer relevant machine learning techniques / models. Map state-of-the-art Machine Learning algorithms to customer use cases
  • Assess and compare 3rd party machine learning tools and platforms
  • Help PM in identifying key technical risks and mitigation plan for the same
  • Help PM in effort estimation and planning
  • Interface with academia
  • Write ‘Point of View’ document on emerging trends in ML / AI
  • Conduct internal sessions on related topics
179

Machine Learning & Computational Engineering Researcher Resume Examples & Samples

  • Search out new opportunities within ARM to apply ML and other emerging computational techniques to the engineering process. This includes interacting with hardware engineers and others across ARM to understand their existing techniques and their most pressing problems
  • Keep abreast of the current state of the art in ML, and apply those existing techniques to the problems we identify
  • Find areas where existing ML techniques are unsuitable for ARM’s problems, and devise new techniques which excel in those areas. For example, many existing ML techniques rely on the differentiability or local connectivity of the problem domain, but these properties often don’t hold true for hardware engineering problems
  • Roll out the results of your research across ARM and the ARM ecosystem to make our engineering process more efficient, productive, and profitable
  • Publish the results of your research to contribute to the overall progress of our field
  • A Ph.D. in electrical engineering, computer engineering, computer science, or other relevant field
  • Classroom, research, and/or work experience in machine learning
  • Good knowledge of computer architecture
  • Strong programming skills
180

Machine Learning Software Engineer Resume Examples & Samples

  • A Masters’ degree with several years’ experience or a PhD in software engineering or related field
  • In depth experience with Spark/Hadoop and either Theano/Tensorflow/Caffe/Torch
  • Experience in Python and R
  • Experience creating production environment data analytics and applications
181

Machine Learning Internship Resume Examples & Samples

  • One year completion into a Master’s degree or PhD with a focus in machine learning or distributed computing
  • An in-depth understanding of machine learning algorithms and modelling
  • Experience with Spark/Hadoop and either Theano/Tensorflow/Caffe/Torch
  • Experience in Python
182

Analytics Machine Learning Intern Resume Examples & Samples

  • Experience on developing production level code on one or more of the following areas- statistical modeling, machine learning algorithms, data pipelines
  • Experience in data science projects, especially experience in scala, R and python
  • Experience in communicating complex scientific results to a general audience using visualization tools
  • Excellent at prototyping simple machine learning pipelines to quickly decide if an idea is promising or not, all the way from getting the data to measure model’s accuracy
  • At-least 1 year experience on developing production level code on one or more of the following areas: statistical modeling, machine learning algorithms, data pipelines
  • At-least 1 year experience in communicating complex scientific results to a general audience using visualization tools
  • At-least 1 year experience in building production level machine learning pipelines using open-source technologies (hadoop, spark, hive, kafka, storm)
  • At-least 1 year experience with deep learning frameworks such as Caffe, Torch, Theano or TensorFlow
183

Director of Machine Learning Resume Examples & Samples

  • Design and propose space and time efficient neural network architectures for mobile platforms
  • Analyze, evaluate and assist in the design of mobile neural network silicon
  • Lead and grow a team of machine learning experts; evangelize machine learning across other teams and disciplines in the company
  • Passionate about innovation and discovery
  • Minimum BS degree in Computer Engineering or Computer Science
  • Minimum of 5 years experience in the field of ML and AI
  • PhD preferred or equivalent expertise in ML and AI
  • 10+ years experience in the field of ML and AI
  • Nuanced understanding of all phases of machine-learning development
184

Software Development Manager Alexa Machine Learning Platform Resume Examples & Samples

  • Bachelor's Degree in Computer Science (MS, Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, etc.)
  • Experience with the tools of the trade, including familiarity with modern programming languages (Java, JavaScript, C/C++, Objective C) and open-source technologies (Apache, Hadoop)
  • Demonstrated track record of project delivery for large, cross-functional projects
  • Experience presenting technical information to a variety of audiences both verbally and in writing
  • The key requirement for this position is established skill designing and developing solutions to complex problems in a distributed systems environment
  • Technical credentials, with at least 8 years experience managing software development teams, ideally with some hands-on architectural or distributed systems experience
  • MS, Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, etc
  • Experience with big data solutions
  • Knowledge of ML fundamentals
185

Software Development Engineer Alexa Machine Learning Platform Resume Examples & Samples

  • Graduate degree (MS or PhD) in Electrical Engineering, Computer Science, or Mathematics with specialization in machine learning, natural language processing, or speech recognition
  • Programming experience in C/C++, Java, or Python
  • Experience in planning and learning techniques mainly reinforcement learning and dynamic programming
  • Solid machine learning background and familiarity with state-of-the-art techniques such as deep neural networks
  • Related work in creating dialog system
  • Contributions such as publications that have advanced the field
  • Solid software development experience
  • Good written and spoken communication skills
186

Research Intern, Machine Learning Resume Examples & Samples

  • Develop highly scalable classifiers and tools leveraging machine learning, regression, and rules-based models
  • Suggest, collect and synthesize requirements and create effective feature roadmap
  • Perform specific responsibilities which vary by team
  • Pursuing PhD in Computer Science, related STEM or quantitative field or relevant experience
  • Must be currently enrolled in a full time degree program and returning to the program after the completion of the internship
  • Experience in C/C++, Java, Perl, or PHP
  • Experience in scripting languages such as Perl, PHP, Python, and shell scripts
  • Experience with Hadoop/Hbase/Pig or Mapreduce/Sawzall/Bigtable is a plus
  • Excellent interpersonal skills, cross-group and cross-culture collaboration
  • Proven track record of achieving significant results
  • Preferred: Demonstrated software engineer experience via an internship, work experience, coding competitions, or PhD papers
187

Performance Engineer, Machine Learning Resume Examples & Samples

  • Expert knowledge of C, C++, or Objective-C and the ability to write elegant, performant code
  • Highly professional and collaborative with outstanding communication and presentation skills
  • Experience with significant software projects where performance was imperative
188

Senior System Design Engineer Machine Learning & Artificial Intelligence Resume Examples & Samples

  • Vehicle Network Systems
  • Wireless communication
  • Artificial Intelligence (AI) and Machine Learning technologies useful for commercial transportation solutions
  • High competence in communication and networking
  • Composing technical and research results reports and documentation
  • Presenting technical result
  • Interacting with stakeholders at different levels
  • Fluent in English, spoken and written
189

Technical Director Site Reliability & Machine Learning Engineering Resume Examples & Samples

  • Technical leadership of Level 2 Operations for WDAT including all major technology areas
  • 10+ years of relevant experience in Technology Engineering or Delivery
  • Experience in Site Reliability Engineering (Machine Learning)
  • Demonstrated technical ability in core technology areas: Java, nodeJS, Angular, PHP, .NET, SQL, Oracle
  • Demonstrable knowledge of TCP/IP, HTTP, application integration, monitoring, servers, storage & databases
  • Ability to troubleshoot application​​ and system issues at all levels of the stack Demonstrated expertise in leading triage & integration functions on enterprise-scale solutions
  • Demonstrated delivery & solutioning on large-scale distributed systems including multi-tiered architecture
  • Demonstrated experience in delivering results in a multi-sourced vendor environment, with delivery partners on & off-shore
  • Ability to communicate to executive audiences, and deliver results through influence
  • Technology experience in the hospitality/travel industry
  • Masters in Computer Science, or related engineering discipline
  • Demonstrated experience supporting solutions in International regions
  • Certification in ITIL
190

Principal Engineer, Machine Learning Resume Examples & Samples

  • Design, implement, and deploy full-stack solutions for millions of Comcast customers
  • Develop and prototype new algorithms, evaluate with small scale experiments, and later productionize solutions at scale
  • Investigate and solve exciting and difficult challenges in machine learning, classification, data science, content analysis, and deep learning
  • Collaborate witha cross functional agile team of software engineers, data engineers, ML experts, and others to address challenges head on
  • Help drive optimization, testing and tooling to improve data quality
  • Bring your experience implementing machine learning systems at scale in Java, Scala, Python or similar (not just R or Matlab)
  • Care aboutagile software processes, data-driven development, reliability, and responsible experimentation
  • Computer Science, Engineering
  • Generally requires 11+ years related experience
  • Publications at top-tier peer-reviewed conferences or journals or a proven track record of industry innovation in creating novel algorithms and advancing the state of the art
  • Strong mathematics, statistics, and data analytics abilities
  • Track record of successful projects in algorithm design and product development
  • Experience developing / implementing anomaly detection or self-healing solutions
  • Experience with data processing and storage frameworks like Hadoop, Scala, Spark, Storm, Cassandra, Kafka, etc
191

Software Development Manager Alexa Machine Learning Platform Resume Examples & Samples

  • Responsible for the over-all software development life cycle
  • Management and execution against project plans and delivery commitments; Manage the day-to-day activities of the engineering team within an Agile/Scrum environment
  • Work closely with our scientists and engineers to architect and develop the best technical design and approach
  • Report on status of development, quality, operations, and system performance to management
  • Customer engagement and product road map definition
  • BS/MS/PhD in Computer Science or equivalent
  • 5+ years experience building scalable parallel and distributed computing systems
  • 2+ years experience directly managing software engineers
  • Experience with object oriented programming languages
  • Demonstrated track record of project delivery for technically complex, cross-functional projects
  • Advanced degree in Computer Science, Computer Engineering, Electrical Engineering, etc
  • Prior work experience in deep learning, numerical algorithms, parallel computing, heterogeneous architectures, scientific computing
  • Experience with big data solutions such as Mesos, Spark, Hadoop
  • DevOps experience
192

Machine Learning Project Manager Resume Examples & Samples

  • Desired Skills/Experience
  • Aptitude for grasping new technical concepts involving application and tool development
  • Knowledge of Linux
  • IOS and/or Mac OS X experience
  • Technical Degree in EE, ME or related field preferred
  • Experience developing and releasing a consumer product
  • Ability to filter and distill relevant information for the right audience
  • Demonstrated experience managing multiple projects in a matrixed environment
  • Ability to work in an ambiguous and always fast-paced environment is required
  • Demonstrated ability to deliver large scale projects on-time with consistently successful results
  • Excellent leadership skills with the ability to win the confidence of highly skilled developers
  • Fluent in software engineering processes with considerable software release experience
  • Understands and deals well with rapid development cycles; remains flexible and calm in the face of uncertainty
  • BS/MS in Computer Science, Machine Learning, Statistics or other quantitative disciplines, or equivalent work experience
193

Machine Learning Validator Resume Examples & Samples

  • Understand the basic building blocks of Machine and Deep Learning stack and develop Integration tests to test the various workflows, for various segments based on requirements and use cases
  • Profile the software stack ,develop and run Performance tests
  • Assess the bottlenecks and help identify areas for optimization in close collaboration with developers
  • Bring a customer perspective to the validation activities and be the customer advocate for usability, setup, etc
  • Min of 3 years programming experience in C++ and Python scripting
  • Understand fundamental Machine learning/ deep learning / neural networks/image processing concepts and use-cases
  • Experience developing integration and system tests
194

Machine Learning Validation Engineer Resume Examples & Samples

  • Looking for dedicated validation resources in an Agile environment to continuously develop integration testing for new features and bug fixes
  • Setup and maintain a ‘Continuous Integration’ model to feed the integration tests into the code integration process and debug/resolve integration issues
  • Min. 2 years with B.S. or 1 year with M.S. in Computer Science or related field
  • Experience with frameworks i.e. Caffe, TensorFlow or other frameworks
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Machine Learning Intern Resume Examples & Samples

  • Must be pursuing a bachelor's degree in Computer Engineering, Engineering Science, Computer Science, Math or equivalent (please review)
  • 3 months experience with C and C++
  • 3 months experience in using testing infrastructure and scripting environments such as Perl and Python
  • 3 months experience in developing software in Linux and Windows.Verilog and VHDL an asset but not required
  • 3 months experience with debugging tools such as MSDev Studio and GDB
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Senior Engineer, Machine Learning Resume Examples & Samples

  • Bachelors + 5 yrs professional experience, Masters + 3 yrs professional experience or PhD in machine learning or adjacent fields (computer science, statistics, data mining, data science, big data, etc.)
  • Expert knowledge in deep learning and are familiar with the relevant machine learning frameworks
  • Knowledge of other recent machine learning algorithms (e.g. Bayesian Networks and Reinforcement Learning) as well as optimization techniques
  • Proven ability to multitask and deliver on challenging software development tasks
  • Excellent C++ programming expertise
  • Experience with source code management, unit test, code review and issue tracking systems
  • Knowledge of Linux and development on Linux systems
  • Experience working independently in a large software setting
  • Experience working with robot and/or automotive hardware
  • Experience with simulation environments
  • System integration and software architecture skills
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Man GLG Machine Learning Research Engineer Resume Examples & Samples

  • Capturing, cleaning and analysing data to provide novel insights for the business
  • Building tools that summarise and visualise data, to present findings to end-users
  • Researching, designing and implementing machine learning algorithms that can be used to enhance the investment and trading process
  • Providing machine learning and data science expertise to the organisation
  • Working as part of a team to build data and machine learning driven applications and tools for the business, to improve profitability and risk management
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Software Development Engineer Alexa Machine Learning Data Platform Resume Examples & Samples

  • Develop and maintain key system features
  • Work in an Agile/Scrum environment to deliver high quality software against aggressive schedules
  • 5+ years of industry experience
  • Experience developing cloud software services and an understanding of design for scalability, performance, and reliability
  • Development experience defining, developing, and maintaining REST based interfaces
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Senior Software Development Engineer Alexa Machine Learning Resume Examples & Samples

  • Work with other team members to investigate design approaches, prototype new technology and evaluate technical feasibility
  • Work with stakeholders to define and execute on the technical strategy for your team
  • BS in Computer Science or equivalent
  • 7+ years of industry experience
  • Programming in one or more object-oriented languages like Java/Python/C#/Ruby/Objective C/C++
  • Experience building scalable infrastructure software or distributed systems
  • Analytical abilities and proven design skills
  • MS in Computer Science
  • Mastery of the tools of the trade, including a variety of modern programming languages (Java, JavaScript, C/C++, Objective C, Python, Ruby, C)
  • Experience developing cloud software services and an understanding of design for scalability, performance and reliability
  • Development experience defining, developing and maintaining REST based interfaces
200

Software Engineer New Machine Learning Initiative Resume Examples & Samples

  • Proficiency in at least one modern programming language such as Java, C#, C++, C , or Ruby/Python/Perl
  • Good communication skills in explaining technical challenges and solutions
  • Success in dealing with ambiguous problems and thinking abstractly
  • Expertise in Hadoop ecosystem (HDFS, MapReduce, Spark, HBase, Hive, Presto, etc.)
  • Core competencies in Scala, Java, HTTP, and JSON
  • Experience building and operating large distributed highly available services
  • Proven track record on delivering results, especially in the area of writing high-performance, reliable and maintainable code
  • Ability to work well in a team environment and effectively drive cross-team solutions that have complex dependencies and requirements
  • Strong technical vision, presentation and technology leadership skills
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Machine Learning Software Intern Resume Examples & Samples

  • Strong background in Python and/or Java. Prior experiences with math/machine learning libraries are required. Particularly, experience with deep learning libraries (Theano/Caffe/Torch/TensorFlow) is highly desired
  • Development experience with Raspberry pie (or similar on Linux platform) and must have experience with Android
  • Graduate level familiarity with machine learning and basic understanding of signal processing techniques. Prior experience with audio signals will be a plus
  • Hands on experience in developing/testing research prototypes with real-time machine learning capabilities
  • Degree Level: MS, PhD students in Electrical Engineering, Computer Science
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Machine Learning Model Interpretability Resume Examples & Samples

  • Engineers and scientists at Bosch Data Mining Services, North America, work on a broad variety of problems, from analysis of manufacturing processes to economics-based sales forecasting. The internwill be expected to help build a tool to enhance the insights derived
  • PhD/MS in Machine Learning or related quantitative field
  • Excellent quantitative, empirical analysis and research skills
  • Strong knowledge of machine learning models, tools, and techniques
  • Proficiency in Python, R, or another programming language suitable for modeling and statistics
  • Excellent knowledge of analytical tools including Python scikit-learn, R machine learning packages, or similar
  • Familiarity with relational databases and SQL
  • Previous experience in building human-interpretable models, “white box” or “gray box” modeling, or other explanatory methods
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Speech Signal Processing & Machine Learning Intern Resume Examples & Samples

  • MS or PhD in Electrical Engineering, Computer Science, or related fields
  • Strong background in signal processing, machine learning, pattern recognition, and recent speech technology
  • Familiar with state-of-the-art algorithms such as i-vector, PLDA, HMM/GMM, DNN, etc
  • Strong coding skills, with at least 3 years of programming
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Machine Learning Engineering Intern Resume Examples & Samples

  • Analyze large sets of imperfect data with machine learning and statistical analysis to derive actionable outcomes based on specific business problems
  • Work with operations to gather feedback and improve existing automation tools
  • Write scripts for test automation
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Machine Learning Lead Developer Resume Examples & Samples

  • Design and develop modules for the SaaS based platform as per requirement from Product Managers & Architects, comfortable in writing automation as part of the feature delivery
  • Apply machine learning, deep learning and NLP algorithm to big data sets
  • Responsible for meeting all module technical requirements and associated schedule milestones
  • Work with team members to do requirements & dependency analysis & write design documents
  • Effectively communicates with members of the technical staff and Product Managers & Architects to ensure successful production