Learning Engineer Resume Samples

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DH
D Harvey
Deangelo
Harvey
880 Bernier Centers
Phoenix
AZ
+1 (555) 384 9063
880 Bernier Centers
Phoenix
AZ
Phone
p +1 (555) 384 9063
Experience Experience
Chicago, IL
Deep Learning Engineer
Chicago, IL
Huel Group
Chicago, IL
Deep Learning Engineer
  • Develop visualization tools to explore neural networks and provide context on how the network made its decisions
  • Provide input to automotive product teams working on e.g. DrivePX and DriveWorks SDK
  • Develop novel network architectures optimized for genomics applications
  • Closely follow academic developments in the field of artificial intelligence
  • Strong interest in artificial intelligence and computer vision, awareness of latest developments in deep learning
  • Autonomously conduct and lead research projects, report and analyze results, provide guidance to other team members
  • Develop deep learning algorithms for distinguishing between benign and pathogenic genetic variation and extracting structure and function from sequence
Boston, MA
Senior Learning Engineer
Boston, MA
VonRueden-Graham
Boston, MA
Senior Learning Engineer
  • Assist in management and mentorship of the Software Apprentice Program
  • In partnership with Medill Integrated Marketing Communication online faculty, draw out the faculty member’s instructional goals and objectives and offer analysis, design, and development options for achieving the best outcomes for the student communities and subject matter. Work with the faculty to revise existing online courses and to develop new courses
  • Collaborate with subject matter experts to build compelling course content that improves knowledge retention and transfer
  • Support and evangelize informal and social learning throughout the software engineering team
  • Familiarity with adult learning theory and instructional strategies and methodology
  • Craft engaging and effective learning programs on advanced software engineering topics
  • Define explicit learning objectives and corresponding evaluation strategies for learning programs
present
Los Angeles, CA
Senior Deep Learning Engineer
Los Angeles, CA
Auer, Wolff and Jenkins
present
Los Angeles, CA
Senior Deep Learning Engineer
present
  • Provide consulting to Engineering team to enhance and improve existing Teradata products
  • Expertise in CUDA, OpenCL, GPU, FPGA et al large scale high performance data processing hardware technologies
  • 3+ years working in HPC, GPU and similar hardware environments
  • Working knowledge of large scale model compression for rapid inference at the edge
  • Provide consulting to analytic solutions team to build Deep Learning packaged solutions
  • Mentoring Data Engineers on Deep Learning Architectures
  • Subject Matter Expert in HPC, GP-GPU, ASIC, FPGA architectures for Deep Learning
Education Education
Bachelor’s Degree in Instructional Design
Bachelor’s Degree in Instructional Design
University of California, Berkeley
Bachelor’s Degree in Instructional Design
Skills Skills
  • Should be a good learner who takes initiative to drive topics to completion with a high quality, reliability and efficiency
  • Strong programming skills, strong IT background
  • Should be able to independently work with Deep Learning models related to computer vision like CNNs, generative models etc
  • Machine Learning – strong fundamentals in machine learning
  • Good communication skills, fluent in English, both written and spoken
  • Experience with data gathering, data quality, system architecture, coding best practices
  • Strong analytical and problem solving skills
  • Goal-oriented team player with flexible mindset
  • GPU Programming
  • Passion for cars or physical products
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15 Learning Engineer resume templates

1

Distance Learning Engineer Resume Examples & Samples

  • Provides rapid, specialized technical maintenance and customer service support for the Keck School of Medicine of USC’s faculty, staff, students, and invited speakers
  • Maintains, operates, upgrades, services, and supports instructional classroom equipment and audio-visual systems used for both face-to-face and online delivery of instruction
  • Identifies, diagnoses, tests, and resolves audio-visual, computing, and other technological performance problems in a multi-platform environment
  • Assists in the on-going support of computer environments campus-wide, with special efforts geared to the instructional learning environments
  • Provides one-on-one and one-to-many consultative services for faculty, staff, and students on the use of multimedia hardware and software. Assists faculty, staff, and students in using multimedia and computer-based resources such as various multimedia control systems and touch panels, LCD projectors, mixers, matrix switches, and amplifiers
  • Stays informed of new technologies and hardware to improve the quality of face-to-face and distance education operations. May make recommendations as appropriate
  • Performs other related duties as assigned. The University reserves the right to add or change duties at any time
2

Learning Engineer Resume Examples & Samples

  • Maintain currency in current learning sciences and instructional design principles for effective support of online and blended education, peer learning and active learning practices
  • Bachelor’s degree in instructional design, learning sciences or a related field; or a Bachelor’s degree in an unrelated field with certification in instructional design; or related, higher-Ed experience and training that is equivalent to the skills and knowledge of these degree credentials
  • The ability to work collaboratively with colleagues in a team environment
  • A Master’s degree in Instructional Design, Learning Sciences, Education Technology, or a similar field
  • Knowledge of current learning technologies, a broad perspective of online higher education efforts, active learning practices and blended learning
3

E-learning Engineer Resume Examples & Samples

  • Analyze and extract translatable content from eLearning courses
  • Implementation of localized content into original builds, adjusting layout and synchronizing audio and animations
  • Implementation of bug fixes reported during the linguistic and functional QA using Articulate, Storyline, Lectora, Captivate, and any other e-learning applications
  • Troubleshoot technical issues
  • Liaise with project managers to clarify scope and technical questions related to projects
  • Coordinate and communicate with other e-learning specialists in different offices, Project Managers, and other production team members, in various offices and time zones
  • Perform other special projects or duties when required
  • University degree, preferable in Translation
  • Post-graduate degree or master in Translation Technology
  • Basic knowledge of Desktop Publishing applications
  • Proficient in Windows platform
  • Ability to work on a team in a fast-paced environment
  • Superior written and spoken communication skills
  • Work well with people from a variety of different backgrounds and cultures, build relationships with co-workers, work as part of a team, and commit to a high level of service
4

Deep Learning Engineer Resume Examples & Samples

  • 3+ years of experience with developing software in C++, C, Java, or other high level languages
  • 3+ years of experience with integration or testing, including analyzing and implementing test
  • 3+ years of experience with plans and scripts
  • Experience with the design and development of an object-oriented system and with computer vision or image processing
  • Experience with developing solutions and integrating and extending Free and Open-Source Software (FOSS) or COTS products
  • Experience with Natural Language Processing toolkits, including Stanford NLP or Open NLP
  • Experience with other languages, including Matlab or Python
  • Knowledge of mathematical theory, including Backpropagation, Probability Theory, or Stochastic Gradient Descent
  • Knowledge of feature matching, object tracking, image stitching, and statistical estimation
5

Learning Engineer, The Eberly Center Resume Examples & Samples

  • Developing online instructional assets that align with teaching goals and apply research-based learning principles. This work will range from developing smaller-scale prototypes to fully online courses; the production of which will require experience with online course authoring technologies
  • Creation of and support for instructional video design, production, and editing
  • Providing 1:1 teaching consultations on: (1) selection of technologies appropriately aligned with teaching and learning needs, and (2) strategies for effectively implementing technology to enhance learning in online and blended courses
  • Developing resources and supporting Eberly Center programs aimed at educating instructors about relevant technology options, best practices for their uses to enhance learning, and strategies for effectively integrating them into courses
  • Staying abreast of emerging technology developments, potential pedagogical applications, and associated educational research
6

Deep Learning Engineer Resume Examples & Samples

  • Develop deep learning algorithms for distinguishing between benign and pathogenic genetic variation and extracting structure and function from sequence
  • Develop deep learning models that integrate across multimodal data sources, including functional genomics, conservation, and protein structure
  • Develop novel network architectures optimized for genomics applications
  • Develop visualization tools to explore neural networks and provide context on how the network made its decisions
7

Deep Learning Engineer Resume Examples & Samples

  • Create modules that solve perception, segmentation, decision making and action problems
  • Integrate modules to form an autonomous driving system
  • Write embedded and server side code that performs machine learning
  • Write embedded and server side infrastructure code
  • Collect and pre-process data – will require driving
  • Integrate and test algorithms in real car – will require working with the workshop
  • 8+ years in machine learning, 2+ years in deep learning
  • Bachelors of Science in Computer Science or related
  • Masters or PhD in related discipline
  • Deep Learning – experience with CNNs, RNN, LSTMs and the latest research trends
  • Machine Learning – strong fundamentals in machine learning
  • Programming – Python, C++
  • Shipped one or more machine learning based products
  • Experience with data gathering, data quality, system architecture, coding best practices
  • Big Data Experience strongly preferred – Spark, Scala, Amazon AWS
  • Experience with perception (e.g. computer vision), time series data (e.g. text analysis), decision making (e.g. using Reinforcement Learning)
  • Experience in a regulated industry – automotive, aeronautics, medical devices etc
  • GPU Programming
  • Passion for cars or physical products
8

Deep Learning Engineer Resume Examples & Samples

  • Oriented system and with computer vision or image processing
  • Experience with developing solutions and integrating and extending Free and Open-source Software (FOSS) or COTS products
  • Experience with Natural Language Processing toolkits, including Stanford NLP or OpenNLP
9

Deep Learning Engineer, Junior Resume Examples & Samples

  • 3+ years of experience with developing software for Linux, including Redhat, CentOS, or Ubuntu
  • 2+ years of experience with deep learning frameworks, including Theano, Torch, or Caffe
  • Experience with the design and development of an object
  • Oriented system
  • Experience with developing solutions, integrating, and extending Free and Open-source Software (FOSS) or COTS products
  • Experience with coursework in computer vision or image processing
  • Experience with deploying applications in a Cloud environment
  • Experience with languages, including Matlab or Python
  • Experience with developing analytics for geospatial and commercial imagery data
  • Knowledge of mathematical theory, including Backpropagation, Probability Theory, and Stochastic Gradient Descent
  • MS degree in CS, Mathematics, or Physics or 3+ years of experience in lieu of a degree
10

Principal Deep Learning Engineer Resume Examples & Samples

  • Write clean and well-organized software (TensorFlow for modeling, Python for our cloud pipeline)
  • Improve our evolving deep learning pipeline and cloud infrastructure
  • Collaborate with bioinformatics, software engineering, and data science teams
11

Senior Deep Learning Engineer Resume Examples & Samples

  • Subject Matter Expert in HPC, GP-GPU, ASIC, FPGA architectures for Deep Learning
  • Hands on leadership, consulting and support for Deep Learning projects
  • Ability to present complex analytical and technical concepts to a business audience
  • Ability to evaluate and differentiate techniques and tools for Deep Learning problems
  • Staying up to date with latest Deep Learning hardware and software architectures
  • Mentoring Data Engineers on Deep Learning Architectures
  • Provide consulting to analytic solutions team to build Deep Learning packaged solutions
  • Provide consulting to Engineering team to enhance and improve existing Teradata products
  • Scaling and Deploying large scale Machine Learning models
  • Expertise in CUDA, OpenCL, GPU, FPGA et al large scale high performance data processing hardware technologies
  • Expertise and hands on experience with scaling and deploying Deep Learning models, distributed libraries and large scale distributed data systems
  • Working knowledge of large scale model compression for rapid inference at the edge
  • Working knowledge of Deep Learning Libraries (TensorFlow, Torch, Caffe, MXnet etc.) scalability options and challenges
  • Hands on experience with several of the languages such as C/C++, Python, Lua, Java, Linux command line and systems programming a must
  • Creativity and curiosity for unique ways to solve complex customer problems
  • Ability to give both technical and sales presentations
  • 3+ years working in HPC, GPU and similar hardware environments
  • Professional consulting experience a plus
  • Communicating past experiences in sales and speaking opportunities
12

Senior Learning Engineer Resume Examples & Samples

  • Conduct learning research and analysis in partnership with engineers and other business stakeholders to identify specific learning needs
  • Define explicit learning objectives and corresponding evaluation strategies for learning programs
  • Collaborate with subject matter experts to build compelling course content that improves knowledge retention and transfer
  • Craft engaging and effective learning programs on advanced software engineering topics
  • Support and evangelize informal and social learning throughout the software engineering team
  • Mentor newly hired software engineers as they complete the onboarding curriculum
  • Assist in management and mentorship of the Software Apprentice Program
  • Maintain and enhance 2 internally built Rails apps owned by the learning team
  • 3-5 years experience working as a software engineer
  • Experience with our tech stack preferred (AWS, Ember, Go, PostgreSQL, Ruby, Rails, Swift)
  • Experience developing curriculum or serving as an instructor for software engineers
  • Familiarity with adult learning theory and instructional strategies and methodology
  • Forward thinking- you’re always evaluating what currently exists and thinking creatively about ways that it could be even better
  • Bachelor’s degree in Computer Science, Engineering, or equivalent preferred, but not required
13

Deep Learning Engineer Resume Examples & Samples

  • Candidates with minimum of 2 years with a PhD or MS level education with 4+ years of experience with a focus in Deep Learning, Machine Learning, Image processing or AI
  • Strong fundamentals in image processing with Deep Learning and Computer Vision
  • Sound fundamentals in data structures, algorithm development and strong C/C++ programming and debugging skills
  • Hands-on experience with developing high performance, multi-threaded and distributed software is preferred
  • Experience optimizing software systems to support CPU/GPUs/FPGAs and/or ASICS a BIG plus
  • Expertise in deep neural network topologies such as convolutional nets and recurrent nets
  • Experience with deep learning frameworks: Caffe, TensorFlow
  • Experience using Deep Learning to solve problems in Image or Video analysis
14

Deep Learning Engineer, Junior Resume Examples & Samples

  • 3+ years of experience with developing software for Linux, including Red Hat, CentOS, or Ubuntu
  • Experience with the design and development of an object–oriented system
  • Experience with developing solutions, integrating, and extending Free and Open–source Software (FOSS) or COTS products
  • Experience with languages, including MATLAB or Python
  • MS degree in CS, Mathematics, or Physics
15

Deep Learning Engineer Resume Examples & Samples

  • Doctoral, Master’s or Bachelor’s degree in Engineering or Technology, majoring in Computer Science, from a reputed institute, with excellent academic records
  • Hands-on experience with at least one major deeplearning library for computer-vision like Caffé, TensorFlow Torch or Theano
  • Should be proficient in python and specifically in libraries used for machine-learning / computer-vision like openCV, numpy, scikit-learn, keras, matplotlib and scipy
  • Ability to decipher the mathematical basis of machinelearning / deep-learning models based on linear-algebra, probability & statistics, vector / tensor algebra and calculus will be an added advantage, but is not mandatory
  • Hands-on experience with scalable & parallelizable scripting algorithms that cater to large-scale image and video datasets used in conjunction with deep-learning for computer-vision
  • Goal-oriented team player with flexible mindset
  • Good communication skills, fluent in English, both written and spoken
  • Should be able to independently work with Deep Learning models related to computer vision like CNNs, generative models etc
  • Maintain a good overview understanding of latest architecture models (E.g. GANs, very deep / wide / dense / gated / skip models), algorithm trends (e.g. Adam) and techniques (e.g. for regularization or initialization) in deep-learning for computer-vision and judge their relevance to solve enterprise use-cases
  • Should be able to rapidly develop, deploy, test and iterate with such architectural models / algorithms based on both inhouse and open-source research (concept-to-code) and guide the team to select the best approach for productive deployments
  • Own the training life-cycle of deep-leaning based computervision models, including data-set preprocessing, augmentation, annotation tools and techniques, rapid iterations for hyper-parameter setting, interpretation of test result matrices and plots, fine-tuning and optimization
  • Maintain an overview understanding of a deep learning technology stack from GPU based H/W through cuda / cudnn to framework implementation (in c++ or python) and use this know-how for optimizing the training and prediction workloads, dependency handling and performance tuning
  • Brings hands-on flavor to all aspects in software engineering related to enterprise grade deep-learning
  • Should be a good learner who takes initiative to drive topics to completion with a high quality, reliability and efficiency
  • 4 - 8 years’ professional experience with at least 2 years of hands-on experience in deep learning, preferably with computer vision in an enterprise product development setting, in the role of a data scientist / deep learning senior engineer
  • Experience in working with 3rd party tools and open source libraries relevant for the field of computer vision
  • Contribution to open source community, participation in competitions (like Kaggle), certifications, paper publishing and presentations in relevant journals / conferences / events / meet-ups will be considered as additional merit
  • Prior experience in working with Agile software methodologies (Scrum) and iterative development cycles for deep learning
16

Deep Learning Engineer Resume Examples & Samples

  • Design and apply novel deep learning algorithms to solve concrete problems in the context of computer vision, e.g. object detection & tracking
  • Autonomously conduct and lead research projects, report and analyze results, provide guidance to other team members
  • Provide input to automotive product teams working on e.g. DrivePX and DriveWorks SDK
  • Closely follow academic developments in the field of artificial intelligence
  • Publish key results in scientific conferences
17

Deep Learning Engineer Resume Examples & Samples

  • Experience solving real-world problems with machine and deep learning models
  • Expertise in modern deep learning frameworks such as TensorFlow, Caffe2, Theano, MXNet, CNTK, or Keras
  • Expertise in at least one general purpose programming language such as Python, Java, or C++
  • M.S. degree or equivalent experience in machine learning/deep learning
18

Deep Learning Engineer Resume Examples & Samples

  • 80% Algorithm design, programming (Python, C/C++) and evaluation
  • 20% Writing Journal / International conference papers, technical reports #LI-GW1
  • MS/PhD in Computer Science, Computer Engineering equivalent
  • Proficient in Python and C++, CUDA a plus
  • Knowledge of multiple deep-learning frameworks, such as Caffe, TensorFlow, Theano, Torch/PyTorch
19

Senior Learning Engineer Resume Examples & Samples

  • Successful completion of a full 4-year course of study in an accredited college or university leading to a bachelor's or higher degree; a background in instructional design for higher education; OR appropriate combination of education and experience
  • Proven, demonstrable experience of two years or more in moving courses or programs online
  • Excellent partnership skills and the ability to collaborate with colleagues in a team environment
  • Superior skills in oral communication, interviewing, listening and building relationships with instructors, as well as across work groups and departments
  • Demonstrable writing skills
  • Familiarity with the culture and mission of a major research university
  • A confident, professional and positive attitude.v
  • Strong proficiency in the primary Microsoft Office programs and in collaborative use of networked file storage systems (Box or Google docs)
  • Successful completion of a full course of study in an accredited college or university leading to a Ph.D., Ed.D., or J.D.; OR appropriate combination of education and experience
  • Three or more years of professional experience as an instructional designer in higher education or in a similar organization serving adult learners
  • Demonstrated expertise in developing instructional design strategies, policies, and deployment procedures with school or department partners
  • First-rate skills in Canvas
  • Familiarity with law school instructional practices
  • Knowledge of current learning technologies, a broad perspective of online higher education efforts, and active learning teaching techniques
  • Ability to adapt to and communicate successfully with different people and situations; and incorporate integrity, respect, humor and fairness in daily actions
20

Deep Learning Engineer Resume Examples & Samples

  • Strong knowledge and experience in deep learning algorithms with focus in one of the key areas listed above
  • Solid mathematical foundation of machine learning / deep learning techniques
  • 3+ years of experience in the field
  • Strong experience in C/C++ and python
  • Creativity and curiosity for solving highly complex problems
  • Solid experience in at least one major machine learning framework: Caffe, TensorFlow, Torch, Theano, Keras, etc