Principal Engineer, Machine Learning Engineering

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

You may be a strong candidate if you have:

• Experience coding in Python/C++
• Experience deploying applications on the cloud (AWS)
• Worked with popular Machine learning libraries such as Tensorflow/Keras
• Handled large datasets programmatically
• A degree in quantitative fields such as Mathematics, Computer Science, Physics, Electrical/Electronics Engineering or a related field

Western Digital thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.

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