Senior Machine Learning Scientist Resume Samples

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N Barrows

Nadia

Barrows

1795 Teagan Rapid

Houston

+1 (555) 523 4197

1795 Teagan Rapid

Houston

Phone

p +1 (555) 523 4197

Experience Experience

Philadelphia, PA

Senior Machine Learning Scientist

Philadelphia, PA

Ward LLC

Philadelphia, PA

Senior Machine Learning Scientist

Work closely with business and product teams to optimize various business decisions
Develop state-of-the-art machine learning and computer vision techniques
Work closely with software engineering teams to drive real-time model experiments, implementations and new feature creations
Background in statistics and executive level dash-boarding of manufacturing data
Proficiency with mathematical programming environments (R, Matlab, Numpy/Scipy, SAS, etc.)
Fluency in a high-level modeling language such as R, SAS, Matlab or other statistical software
Work with the feature teams to define the online and offline end-to-end metrics for the product north star, and guide them to optimize their online experiments to achieve those goals

Los Angeles, CA

Senior Machine Learning Scientist

Los Angeles, CA

Brekke-Mertz

Los Angeles, CA

Senior Machine Learning Scientist

Build and measure novel online & offline metrics for personal digital assistants and search engines, on diverse set of devices environments
Create, enhance, and maintain technical documentation
Create, enhance, and maintain technical documentation, and present to other Scientists
Perform data quality analysis and build predictive models
Working closely with software engineering teams to drive real-time model implementations and new feature creations
Build and measure novel online & offline metrics for personal digital assistants and search engines, on a diverse set of device environments
Lead and mentor development teams

present

Boston, MA

Senior Machine Learning Scientist, Security

Boston, MA

Klein-Doyle

present

Boston, MA

Senior Machine Learning Scientist, Security

present

Tracking general business activity and providing clear, compelling management reporting on a regular basis
Working closely with operations staff to optimize risk management operations,
Provide guidance and tools to the partner teams to understand the metrics and identify areas of improvements in their features
Design, development and evaluation of highly innovative models for risk management
Track general business activity and provide clear, compelling management reporting on a regular basis
Provide guidance and tools to partner teams to understand the metrics, and identify areas of improvements in their features
Manage the deployment and future roadmap of the customer targeting mechanism and accompanying program end-to-end

Education Education

Bachelor’s Degree in Computer Science

Rowan University

Bachelor’s Degree in Computer Science

Skills Skills

Strong problem solving ability
Ability to obtain a Q clearance
Excellent communication and presentation skills
Ability to convey rigorous mathematical concepts and considerations to non-experts
Strong programming skills with at least one object oriented language (e.g. Java) and one scripting language (e.g. Python)
A MS in computer science, machine learning, statistics or in a highly quantitative field
Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
Conduct A/B tests to evaluate new learning algorithms and features
Build mathematical models to represent demand forecasting at various levels
Prototype these models by using high-level modeling languages such as MATLAB or R, or in software languages such as Python. A software team will be working with you to transform prototypes into production

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15 Senior Machine Learning Scientist resume templates

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Senior Machine Learning Scientist Resume Examples & Samples

PhD in machine learning (or in a highly related area) or equivalent experience
Knowledge of or experience in building production quality and large scale deployment of applications related to machine learning
Ability to develop prototypes by manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
Eager to learn new algorithms, to keep up-to-date with literature, explore new application areas and new tools
Experience with deep learning
Experience with sequential data modelling, time-series analysis and multi-modal learning algorithms

Senior Machine Learning Scientist Resume Examples & Samples

Graduate degree (MS or PhD) in Electrical Engineering, Computer Sciences, or Mathematics with up to 5 years of related work experience
Familiarity with standard speech and machine learning techniques, scientific thinking, and the ability to invent
A track record of thought leadership and contributions that have advanced the field
Experience working effectively with science, data processing, and software engineering teams

Senior Machine Learning Scientist Resume Examples & Samples

Prototype machine learning models by using high-level modeling languages such as R or in software languages such as Python. A software team will be working with you to transform prototypes into production
Create, enhance, and maintain technical documentation
Gather data required for analysis and model building
PhD in Machine Learning, Computer Science, Computer Engineering, Statistics, Applied Mathematics or a related field and 2+ years of industry experience, or a Master’s degree in the related fields with 5+ years of industry experience
5+ years experience building machine learning models and coding
Experience building, iterating, and validating models
Strong communication, influencing and partnership skills

Senior Machine Learning Scientist Resume Examples & Samples

Develop state-of-the-art machine learning and computer vision techniques
Drive application and adoption of ML in all aspects of imaging and computer vision technology and products
Contribute toward excellence in a highly collaborative, team-oriented environment
Lead and mentor development teams

Senior Machine Learning Scientist Resume Examples & Samples

Experience in Python, Matlab or R
Hands on experience in predictive modelling and analysis
Experience with one or more of C++, Java, Scala, C#

Senior Machine Learning Scientist Resume Examples & Samples

Oversee and participate in research projects to develop and implement methods for machine learning, anomaly detection, data analytics, and related problem domains
Provide leadership in identifying, promoting, and developing Laboratory-wide technical capabilities in machine learning, and helping to establish Laboratory strategies to ensure alignment of new programs to priorities and mission
Provide technical direction to multiple teams for Laboratory-wide initiatives and technology strategies for a wide variety of machine learning application areas
Frequently brief senior-level Laboratory and/or governmental managers and chair peer review committees at a Laboratory level
Represent the Laboratory to external agencies and serve on national advisory and/or policy boards
Communicate research strategy and results through major internal and external reports, presentations, and peer-reviewed publications
Champion long-range positions on programs and technologies for Laboratory management consideration
Provide technical direction to internal and external teams or organizations for diverse and/or uniquely complex projects
Serve as a role model for effective and creative technical leadership at national and/or international levels
Widely interact with employees on other teams, groups, divisions, and programs to create effective technical collaborations and strategies
Internationally recognized expertise in machine learning
Demonstrated track record of seminal reports and/or publications with far-reaching and influential impact within the engineering/scientific community
Experience leading a large project team
Experience with research in predictive medicine, disease detection and screening, or drug efficacy studies
Experience with python, scikitlearn, Theano, Caffe, TensorFlow or related modern machine learning libraries and tools

Senior Machine Learning Scientist 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
Contributions such as publications that have advanced the field

Senior Machine Learning Scientist Resume Examples & Samples

Experience with cutting edge techniques in at least two of the following areas: information retrieval, ranking, document summarization, and entity linking
Experience in building natural language processing (NLP) systems for commercial or government clients, preferably focusing on information retrieval, search, and question-answering
Solid machine learning background and familiarity with standard machine learning techniques used in NLP and speech systems
Familiarity with distributed computing environments for big data, such as Hadoop/Apache Spark
Experience in a role requiring extensive collaboration with multiple teams
Demonstrated ownership in delivering complex projects or product launches

Senior Machine Learning Scientist Resume Examples & Samples

Design, scope and drive development of a data-driven customer targeting mechanism using internal and externally-derived data to assist field sales prioritize their account outreach
Manage the deployment and future roadmap of the customer targeting mechanism and accompanying program end-to-end
Experience building and leading technical teams across a wide variety of technical domains
Experience with AWS technology
Experience supporting sales and/or customer-facing field roles
Master’s degree in relevant field
Ph.D is a plus
Proven experience designing and implementing programs that improve sales and/or field productivity

Senior Machine Learning Scientist Resume Examples & Samples

Strong machine learning background, and familiar with standard speech and machine learning techniques
1+ yrs experience in building speech recognition and natural language processing systems for commercial applications
Solid software development experience (C/C++, Java, or Python)
3+ yrs experience in building speech recognition and natural language processing systems for commercial applications
Experience leading small teams, balancing multiple priorities and stakeholders
Graduate degree (MS or PhD) in Computer Science, Mathematics, or related quantitative field, with specialization in speech recognition, natural language processing, or machine learning

Senior Machine Learning Scientist, Security Resume Examples & Samples

Bachelors' degree or equivalent practical experience
4 years of work or educational experience in Machine Learning or Artificial Intelligence
8 years of professional software development experience
Experience with one or more of the following: Natural Language Processing, text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems or similar
Strong understanding of CNNs, recurrent nets, supervised and unsupervised learning, and optimization techniques
Experience working with one or more deep learning frameworks such as Caffe, Theano, Keras, Torch, TensorFlow, MXNet
Understanding of state of the art deep learning techniques
Strong desire and drive to build robust and efficient solution in consumer products using deep learning technology
Experience with one or more general purpose programming languages including but not limited to: Java, C/C++ or Python
Entrepreneurial spirit
Team player approach
Strong communication and problem solving skills

Senior Machine Learning Scientist Resume Examples & Samples

Create, enhance, and maintain technical documentation, and present to other Scientists
Gather data required for analysis and mathematical model building by writing ad-hoc scripts and database queries in a Hadoop environment
Fluency in a high-level modeling language such as MATLAB, R, Stata, etc
Fluency in a software programming language such as Python, C++, Java, etc
4+ years of experience with data extraction and analysis
Ability to distill problem definitions, models, and constraints from informal business. requirements; and to deal with ambiguity and competing objectives

Senior Machine Learning Scientist Resume Examples & Samples

Graduate degree or Ph.D in mathematics, statistics, operations research, engineering, or computer science and 5 years of related work experience
Experience with SQL and Statistical tools
Experience with ML models and tools
Proficiency in one or more of programming languages JAVA, C++, C, R
Expertise in one or more of the following: Machine learning, optimization, probability theory, queuing theory, game theory, simulation, decision analysis, stochastic models, system dynamics, forecasting and mathematical modeling. A good understanding analysis of algorithms and computational complexity is desirable

Senior Machine Learning Scientist Resume Examples & Samples

5 years of experience in applied machine learning, predictive modeling and analysis
Fluency in one or more modern programming languages such as Java, C# or C++
Working knowledge of Python, R, Matlab or Statistical Software
Experience in using R, Matlab, or any other statistical software
Experience with advanced ML models and concepts: HMMs, CRFs, MRFs, deep learning, regularization etc
Experience with machine learning pipelines for data from devices and sensors
Experience working with modern tools for big data storage and analysis (e.g., AWS, Apache Spark, Hadoop, SQL, NoSQL)
Experience setting up and using robust metrics for machine learning performance evaluation, A/B testing
Experience with context-awareness, behavioral modeling, recommendation
Experience building solutions for home networks, IoT device and cloud systems, pervasive computing, or home/industrial control systems

Senior Machine Learning Scientist Resume Examples & Samples

Analyze, understand, and model user-behavior and the user-experience based on large scale data, to detect key factors causing satisfaction and dissatisfaction (SAT/DSAT)
Build and measure novel online & offline metrics for personal digital assistants and search engines, on diverse set of devices environments
Perform data quality analysis and build predictive models
Define ML based techniques for sampling, judgment monitoring, spam detection, A/B testing and efficient evaluations
Work with the feature teams to define the online and offline end-to-end metrics for the product north star, and guide them to optimize their online experiments to achieve those goals
Provide guidance and tools to the partner teams to understand the metrics and identify areas of improvements in their features
Full understanding of the system stack, each component, dependencies and constraints
Bachelor's, Master's, or PhD in Computer Science or equivalent
3+ of experience in data analysis, statistical metrics, and measurements for search engines
Experience in working web-scale high-performance, highly-available and scalable distributed systems, particularly search engines
2+ years experience as a senior-level Scientist or Engineer
5+ years experience with state-of-the-art machine learning and statistical modeling techniques
5+ years experience leading large-scale projects
Strong knowledge of statistics, data-mining, crowdsourcing, IR evaluation, dis/satisfaction modeling and prediction to develop web scale offline and online metrics for personal digital assistants and search engines
Deep knowledge of the underlying ML techniques and algorithms development
Ability to work well with people and achieve stretch goals in a highly innovative and fast paced environment
Excellent communication, design and analytical skills

Senior Machine Learning Scientist Resume Examples & Samples

Use machine learning and statistics 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
Work closely with business and product teams to optimize various business decisions
Track general business activity and provide clear, compelling management reporting on a regular basis
PhD in CS Machine Learning, Statistics, or in a highly quantitative field
Strong programming skills in at least one object oriented programming language (Java, Scala, C++, Python, R, etc.)
Experience in implementing the models that handle terabytes of data
Experience in system development in Spark

Senior Machine Learning Scientist Resume Examples & Samples

Innovate and execute on foundational ML algorithms that spans Deep Learning and data-efficient learning techniques such as Transfer Learning (i.e. applying learning from one task to another), Single-/Zero-Shot learning (i.e. learning from a small number of labeled samples), and Unsupervised Learning
Act as a technical lead for small science teams, and mentor for other scientists
Partner with engineering teams’ productize enhancements and new ML algorithms for large-scale application
Bachelor's, Master's, or PhD in Computer Science or equivalent field
At least 10 years of combined academic and industry experience
Strong experience in fundamental ML and Deep Learning
PhD with a strong academic record
Deep knowledge in speech or natural language understanding
Proven track record for the successful delivery of results
Demonstrated experience as technical lead
Excellent written and verbal communication skills with the ability to present complex technical information in a clear and concise manner to a variety of audiences

Senior Machine Learning Scientist Resume Examples & Samples

Own the design, development, evaluation and deployment of new learning algorithms for predictive modeling
Work closely with software engineers and data engineers to implement prototypes and production codes
Act as the point of contact and machine learning leader for the business. Represent the Machine Learning team inside and outside of Amazon Payments Products
Scijobs
A MS in computer science, machine learning, statistics or in a highly quantitative field
Hands-on experience in development of learning and predictive systems
Extensive experience in development of learning and predictive systems
Experience with Linux shell scripting

Senior Machine Learning Scientist Resume Examples & Samples

Analyze, understand, and model user-behavior and user-experience based on large scale data, to detect key factors causing satisfaction and dissatisfaction (SAT/DSAT)
Build and measure novel online & offline metrics for personal digital assistants and search engines, on a diverse set of device environments
Define Machine Learning based techniques for sampling, judgment monitoring, spam detection, A/B testing, and efficient evaluations
Provide guidance and tools to partner teams to understand the metrics, and identify areas of improvements in their features
Fully understand of the system stack, each component, dependencies, and constraints
Bachelor's, Master's, and/or PhD in Computer Science or equivalent
Deep knowledge of statistics, data-mining, crowdsourcing, IR evaluation, dis/satisfaction modeling and prediction, to develop web-scale offline and online metrics for personal digital assistants and search engines
3+ years of experience in data analysis, statistical metrics and measurements for search engines
5+ years of experience in state-of-the-art machine learning and statistical modeling techniques
5+ years of experience leading large-scale projects
Experience in working web-scale systems high-performance, highly-available and scalable distributed systems, particularly search engines
2+ years of hands-on experience as a senior-level Scientist or Engineer
Ability to work well with people, helping to achieve stretch goals in a highly innovative and fast paced environment

Senior Machine Learning Scientist Resume Examples & Samples

Analyzing and understanding large amounts of Amazon’s historical business data for specific instances of risk or broader risk trends
Design, development and evaluation of highly innovative models for risk management
PhD/MS in Computer Science, Machine Learning, Statistics, Applied Mathematics, Operational Research or in a highly quantitative field
5+ years of hands-on experience in predictive modeling and analysis using R, SAS or Matlab
Experience in designing and implementing modeling platforms and frameworks collaborating with engineering teams
Experience in mentoring/coaching an analytics team
Strong ability to multi-task, prioritize and solve problems
Intermediate to advance SQL skills
Experience with graph mining of networks
Experience building and delivering complex systems that leverage the technology platform and integrate with other company systems
Experience with data engineers or business analysts in Big Data analytics

Senior Machine Learning Scientist Resume Examples & Samples

Graduate degree in Electrical Engineering, Computer Science, or Mathematics with specialization in machine learning, related disciplines or equivalent practical experience
Experience working with one or more manufacturing services/product providers
8+ years of experience in Advance Manufacturing , Quality Assurance,HW design and HW test Solutions architecture and product management skills in building large scale manufacturing and supply chain solutions
Experience with Quality Assurance procedures and principle for vendors, suppliers and manufacturing partners
Background in statistics and executive level dash-boarding of manufacturing data
Experience in continuous process improvement
Programming experience in C/C++, Java, or Python or relevant platform
Master's degree or industry equivalent experience in statistical analysis ,reporting and quality strategy
MS/MBA in EE/CS/IE or Operations/Supply chain
Experience with failure reporting, analysis and corrective action systems (FRACAS)
Experience with test automation, Cloud based MES development , Factory and warehouse automation
Demonstrable evidence of establishing QCS principles and processes within an organization in support of engineering activities