Learning Engineer Resume Sample
Work Experience
- 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
- Design, develop, and deliver learning-science-aligned, high-quality, engaging curriculum
- Work with the LO Product Team to ensure that good learning design practices are incorporated into and supported by Difference Engine
- Engage with clients who contract with LO for Learning Design support and services
- Travel approximately 15% of your time
- Architect/develop/evaluate deep learning models
- Dexterity with mathematical tools and algorithms such as numerical methods, optimization, Bayesian inference, statistical signal & image processing
- Skilled in solving numerical problems with e.g. Python, Matlab, C/C++
- Analytical thinking, capable of delivering innovative solutions even under pressure
- Experience using data to inform design decisions
- Advanced knowledge of instructional design processes, learning methods, theories, and best practices for classroom and online post-secondary and/or adult populations
- Recommend design improvements based on learning science
- Excellent written and verbal communication, analytical, and presentation skills
- Success with writing and maintaining process and procedures
- Communicate and collaborate effectively across functional groups
- Understand/assimilate customer needs and challenges, industry trends and market dynamics, learning science theory and translate them into actionable recommendations for product development
- Designing, training and deploying neural networks for complex computer vision problems
- Keeping up with recent AI research results and implementing/improving on winning DNN algorithms
- Proactive and able to work without supervision
- Prepare and launch the Master of Science in Law program in an online format. Work with administrators and faculty to identify course objectives and instructional goals, develop online curricula, and guide the faculty in the production of the courses. Offer guidance and mentorship to faculty while the courses are being run
- In planning with faculty for the online courses, anticipate how the course content can be brought back to campus to play a vital role in re-imagined face-to-face courses. Work with faculty who express interest to broaden the reach of instructional design innovations to their on-premise courses, especially encouraging their adoption of active learning techniques
- Establish and maintain documentation library for best practices in Instructional Design and Learning Science
- Establish training curriculum and train colleagues on best practices as they pertain to learning science theory and instructional design
- Serve as a learning science domain expert on key initiatives, working closely with a cross-functional team to drive development of innovative solutions for higher education
- Work with analytics and taxonomy teams to build frameworks and processes around how learner interaction/usage data can inform future design and present digestible, actionable recommendations to our product team
- Build close relationships with the Cengage Product Team to ensure that good learning design practices are incorporated into and supported by our platforms and products
- Experience with Design Thinking methodology and product development
Education
Professional Skills
- Teaching or training experience in higher education
- Experience in employing deep learning in a commercial setting – in collaboration with product development teams
- Shipped one or more machine learning based products. Experience with data gathering, data quality, system architecture, coding best practices
- Solid fundamentals of data structures and DL algorithms and strong programming, problem solving
- Practical experience building heterogeneous neural network architectures customized for particular problems
- Research or experimentation experience, particularly as it relates to learning science or instructional design
- Practical experience of modern big-data computing ecosystems (e.g., Apache Spark)
How to write Learning Engineer Resume
Learning Engineer role is responsible for training, learning, research, software, credentials, credit, integration, compensation, java, design.
To write great resume for learning engineer job, your resume must include:
- Your contact information
- Work experience
- Education
- Skill listing
Contact Information For Learning Engineer Resume
The section contact information is important in your learning engineer resume. The recruiter has to be able to contact you ASAP if they like to offer you the job. This is why you need to provide your:
- First and last name
- Telephone number
Work Experience in Your Learning Engineer Resume
The section work experience is an essential part of your learning engineer resume. It’s the one thing the recruiter really cares about and pays the most attention to.
This section, however, is not just a list of your previous learning engineer responsibilities. It's meant to present you as a wholesome candidate by showcasing your relevant accomplishments and should be tailored specifically to the particular learning engineer position you're applying to.
The work experience section should be the detailed summary of your latest 3 or 4 positions.
Representative Learning Engineer resume experience can include:
- Strong software engineering skills and fluency with modern software engineering practices (version control, code reviewing, etc.)
- Solid foundation in Machine Learning, Mathematics, Statistics, with demonstrated experience, either professional or academic
- Good communication skills; team player
- Strong oral and written communication skills; and sensitivity to instructing and learning needs at a research university
- Proven ability to work collectively and effectively in settings of social and intellectual diversity
- Experience embedding data hooks to analyze instructional effectiveness and/or developing and managing educational technology tools
Education on a Learning Engineer Resume
Make sure to make education a priority on your learning engineer resume. If you’ve been working for a few years and have a few solid positions to show, put your education after your learning engineer experience. For example, if you have a Ph.D in Neuroscience and a Master's in the same sphere, just list your Ph.D. Besides the doctorate, Master’s degrees go next, followed by Bachelor’s and finally, Associate’s degree.
Additional details to include:
- School you graduated from
- Major/ minor
- Year of graduation
- Location of school
These are the four additional pieces of information you should mention when listing your education on your resume.
Professional Skills in Learning Engineer Resume
When listing skills on your learning engineer resume, remember always to be honest about your level of ability. Include the Skills section after experience.
Present the most important skills in your resume, there's a list of typical learning engineer skills:
- The ability to engage with business stakeholders (with excellent oral and written communication skills)
- Experience leading work groups to productive outcomes and critical deadlines
- Experience with cloud computing environments (AWS or gcloud)
- Experience with distributed computing, large-scale system design, big data systems
- Backend software engineering experience with C++ or Java
- Deep Reinforcement Learning strongly desired
List of Typical Experience For a Learning Engineer Resume
Experience For Deep Learning Engineer Resume
- Identify areas for technical improvement, prioritize requirements
- Crafting and providing support for instructional video design, production, and editing
- Providing 1:1 guiding consultations on
- Contribute to our evolving deep learning pipeline and cloud infrastructure
- Provide the business with new product ideas, as well as data-driven apps, insights and strategies
Experience For Senior Learning Engineer Resume
- For more senior candidates: Lead, inspire and mentor junior scientists and research assistants / interns
- Write efficient and well-organized software
- Participate in code reviews, design sessions, and technical documentation
- Knowledge of neural networks, CNNs, RNNs, etc
- Developing resources and supporting Eberly Center programs aimed at educating instructors about relevant technology options, standard methodologies for their uses
- Experience using quantitative and/or qualitative research methods or learning analytics
Experience For Principal Deep Learning Engineer Resume
- Proven ability to consult with instructors across disciplines and instructing contexts
- Familiarity with the literature on faculty development and learning science research
- Experience with online course authoring technologiesselection of technologies appropriately aligned with instruction and learning needs, and strategies for effectively implementing technology to improve learning in online and blended courses
- 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
- Deep learning development
Experience For Learning Engineer, The Eberly Center Resume
- Documentation and Others
- Extra credit for
- Desirable qualifications: Experience with embedding data hooks to analyze instructional effectiveness and/or developing educational technology tools; familiarity with the literature on faculty development and learning science research; experience using quantitative and/or qualitative research methods or learning analytics. Experience with creating or using AR or VR for educational applications
List of Typical Skills For a Learning Engineer Resume
Skills For Deep Learning Engineer Resume
- Experience promoting the effective use of educational technology
- Demonstrated interest in professional development in the areas of learning science, instructional design, digital product development, higher education
- Research or experimentation experience, particularly as it relates to learning science or instructional desig
- Significant experience in assessment strategy development and design as well as measurement of learning efficacy
- Experience/knowledge in machine learning
- Experience with ETL workflow management systems such as Luigi or Airflow
- Experience of working with engineering and design / product teams
- Strong proficiency in collaborative use of networked file storage systems (Box or Google docs)
- Experience or interest in genomics and bioinformatics
Skills For Senior Learning Engineer Resume
- Understanding of and application of social networking and mobile applications in environments for teaching and learning
- Masters or Ph.D. in learning engineering, design, or related area
- Track record of excellence in the machine learning / perception / control, including patents, publications to international conferences or journals
- Manage multiple complex projects, ensuring that timelines, deliverables, and expectations are met
- Exposure to industry or academic research in deep learning and neural networks
- Expertise with one or more digital education (content) authoring tools (e.g., Camtasia, Captivate, Lectora, Softchalk, Articulate)
- Passion for cars, physical products and building things
- Real passion for state of the art computer vision/machine learning technologies and product delivery
- Vision, perception, control, planning algorithm development
Skills For Principal Deep Learning Engineer Resume
- Knowledge of multi deep-learning frameworks, such as Caffe, Tensor-Flow, Theano, Torch/PyTorch
- Completion of one significant project (equivalent of a PhD research project, and/or a viable commercial product) in one or more of the hiring themes
- Business travel: local and international
- Conference presentations and published papers
- Maintain currency in current learning sciences and instructional design principles for effective support of online education, peer learning and active learning practices
- Publication record in (and willingness to represent AIG in) top machine learning journals (e.g., AI, TPAMI, IJCV, and JMLR) and conferences (e.g., NIPS, ICML, CVPR, ICCV, ECCV, ACL, EMNLP, ICLR, and IJCV)
- A Ph.D. in Instructional Design, Learning Sciences, Education Technology or a similar field
Skills For Learning Engineer, The Eberly Center Resume
- Demonstrated proficiency and understanding of commonly used tools for course development including various LMS, web editors, interactivity tools, multi-media platforms, basic HTML, etc
- Two years of experience working on faculty-driven educational initiatives, bringing instructional design and analysis to the cooperative development work of instructors, educational technology support staff, and teaching assistants
- Proven skills in writing for the web, as well as for reports, proposals and traditional publishing platforms
- Expertise in developing instructional design strategies, policies, and deployment procedures for online delivery
- Expertise in educational learning management platforms (e.g. Canvas, Coursera, D2L)
Skills For Distance Learning Engineer Resume
- Expertise in web conferencing software (e.g., WebEx, Blue Jeans)
- Perform multiple tasks simultaneously and flawlessly
- A confident, professional and positive attitude
- Adapt to and communicate successfully with different people and situations; and incorporate honesty, respect, humor and fairness in daily actions
- Experience implementing fully online courses, blended courses, and/or instructional components/assets (an online portfolio demonstrating related work/past projects)
- Exercise successful communication and listening practices with Northwestern instructors, to encourage creative and trusting partnerships for educational innovation
Skills For Senior Deep Learning Engineer Resume
- Object oriented language such as C++, C or Java
- Deep learning frameworks like Caffe, Tensor Flow or Torch Solid knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control
- Experience in Deep Learning Development
- Review, direct, guide, inspire the research of the more junior scientists in the team (especially applicable to more senior candidates)
- Collaborating closely with the architecture, research, libraries, tools, and other software teams at NVIDIA to investigate how to optimize the inference performance on Tegra based Embedded platform
Skills For Deep Learning Engineer, Junior Resume
- Implementing and optimizing MM SDK sample with deep learning integration
- Working directly with deep learning customers to understand the current and future problems they are solving, creating and optimizing algorithms and data structures to provide the best solutions using GPUs, through both library development and direct contribution to the algorithm
- Collaborating closely with the architecture, research, libraries, tools, and other software teams at NVIDIA to investigate how to optimize the inference performance on NV GPU based platform
- Designing the network and doing training to solve the problem
- Learning from the past and continuously improve your processes always measuring with data and providing concrete examples
- Providing technical direction to customers and our diverse team of solution architects, engineers, and product managers
Skills For E-learning Engineer Resume
- Employ the best of Deep Learning research for solving business problems - disrupting the current practice in insurance and investment
- Algorithm design, programming (Python, C/C++) and evaluation
- Recurrent Neural Networks, Sequence Learning and Sequence Analysis
- Translate technical requirements into specific tasks, correctly represent the urgency of issues, call out inconsistencies, and ultimately drive issues to closure
- Collaborate with our internal research and engineering teams at NVIDIA, in the pursuit of diverse, challenging, and complex problems
- Assist in the development and evolution of solution schedules from concept to completion, while conveying associated requirements and objectives
- Translate technical requirements into specific tasks, correctly represent the urgency of issues, call out inconsistencies appropriately, and ultimately driving issues to closure
- Experience with implementing DNNs for computer vision problems such as object classification, object detection and localization, semantic segmentation
- Experience with deep learning frameworks such as Caffe, Theano, Torch, Keras or Tensorflow
Skills For Learning Engineer Resume
- Interface and work with internal research and engineering teams at NVIDIA to pursue diverse and complex problems
- Knowledge of common Machine Learning methods
- Proficiency in C/C++, Python, Unix/Linux scripting
- Help develop and lead solution schedules and communicate deliverables
- M.Sc. or Ph.D. in Computer Science, Math, Physics or similarly quantitative-heavy background
- Familiarity with OpenCV or other computer vision libraries
Skills For Deep Learning Engineer Resume
- Draw out the faculty member's instructional goals and objectives, and offer analysis, design, and development options for achieving best outcomes with the intended student learning communities and subject matter. When appropriate, draft storyboards and prototypes with the faculty member for new online learning activities
- Collaborate with faculty on the adoption of appropriate instructional technologies that can help advance their educational goals. Inform faculty of new delivery strategies and pedagogy options
- Discuss assessment practices and testing strategies that can provide maximum benefit to the student and can provide credible evidence of achieving learning outcomes
- Build and refine Deep Learning algorithms that can find “useful” patterns in large multi-modal data (particularly, images, text, conversations, and transactional data)
- Demonstrated proficiency in promoting the effective use of educational technology
- Experience with at least one deep learning framework: TensorFlow, Caffe, Torch, or Theano