As a Machine Learning Engineer in the Applied AI Group, you will have the opportunity to work on a wide variety of problems within the Flash BU with an emphasis on speeding up development in the Flash Product Engineering organization using machine learning techniques.
You will be a good fit if you :
- Have knowledge of machine learning at the intermediate level or higher
- Like working on systems and tools that make people more productive
- Are results-oriented with a bias towards action and impact
- Pick up slack, even if it goes outside your job description
- Enjoy collaborating with someone for a large part of your daily work (such as pair programming, learning and discussing new research together)
- Want to learn more about machine learning research at the cutting edge
- Understand critical parts of the FPE development process in detail (Examples would be Firmware development, Validation, Testing)
Example projects that you might pursue :
- Generative AI for code debugging/compliance
- Test generation and optimization using generative AI
- Optimal test coverage and ordering using reinforcement learning
- Automated requirement entry and processing on Polarion
- FA turn around time reduction using machine learning