Staff Machine Learning Engineer, Model Optimization Expert

1 week ago


Mountain View, California, United States Waymo Full time
About the Role

We are seeking a highly skilled Staff Machine Learning Engineer to join our team at Waymo. As a key member of our organization, you will be responsible for optimizing our machine learning models to improve the performance and efficiency of our autonomous driving technology.

Key Responsibilities
  • Collaborate with our world-class ML scientists to identify opportunities for model optimization and implement efficient deep learning techniques.
  • Lead projects from proposal to execution, ensuring timely delivery and high-quality results.
  • Analyze ML workload performance and apply model optimization, efficient deep learning techniques, and ML software improvements.
  • Collaborate with external partners to develop foundation models and ML systems.
Requirements
  • M.S. in CS, EE, Deep Learning, or a related field.
  • 2+ years of experience as a technical lead.
  • 3+ years of experience in model optimization or efficient deep learning techniques.
  • Strong Python or C++ programming skills.
  • Thorough understanding of key ML system challenges and trade-offs.
  • Solid experience with designing, training, and debugging deep learning models.
Preferred Qualifications
  • Ph.D. in CS, EE, Deep Learning, or a related field.
  • Proven track record in efficient deep learning and/or model optimization techniques with foundation models.
  • Deep knowledge of system performance, GPU optimization, or ML compiler.
  • 5+ years of experience in model optimization or efficient deep learning techniques.
What We Offer

At Waymo, we offer a comprehensive benefits package, including competitive compensation, bonus opportunities, equity, a generous 401(k) plan, and a range of other perks and employee discounts. We are committed to maintaining a supportive and inclusive workplace for all employees.



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