Learning Engineer Resume Samples

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D Harvey

Deangelo

Harvey

880 Bernier Centers

Phoenix

+1 (555) 384 9063

880 Bernier Centers

Phoenix

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

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

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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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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