Company Description

At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible.

At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we’ve been doing just that. Our technology helped people put a man on the moon.

We are a key partner to some of the largest and highest growth organizations in the world. From energizing the most competitive gaming platforms, to enabling systems to make cities safer and cars smarter and more connected, to powering the data centers behind many of the world’s biggest companies and public cloud, Western Digital is fueling a brighter, smarter future.

Binge-watch any shows, use social media or shop online lately? You’ll find Western Digital supporting the storage infrastructure behind many of these platforms. And, that flash memory card that captures and preserves your most precious moments? That’s us, too.

We offer an expansive portfolio of technologies, storage devices and platforms for business and consumers alike. Our data-centric solutions are comprised of the Western Digital®, G-Technology™, SanDisk® and WD® brands.

Today’s exceptional challenges require your unique skills. It’s You & Western Digital. Together, we’re the next BIG thing in data.

Job Description

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

Qualifications

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

Additional Information

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.

Western Digital is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@wdc.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Location

Bengaluru, India

Job Overview
Job Posted:
4 months ago
Job Expires:
Job Type
Full Time

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