Senior ML Engineer - Autonomous Driving, Equity & Bonus

Waymo LLC

Mountain View (CA)

On-site

USD 213,000 - 263,000

Full time

14 days+

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Job summary

Waymo LLC in Mountain View, CA, seeks an Engineer for Driver Refinement and Validation (DRV) to bridge ML research and real-world vehicle performance. You will engineer validation and onboard systems ensuring safe, predictable autonomous maneuvers.

You will develop ML-powered systems, fine-tune models for perception, motion prediction, and trajectory planning, and write scalable code to deploy ML in production, partnering with top engineers and product managers.

Qualifications

  • MS in Computer Science, Machine Learning, Robotics, or related field or equivalent practical experience.
  • 5+ years of industry experience deploying, evaluating, and maintaining ML-based systems in real-world, production environments.
  • Proficient programming in Python and/or C++, with strong analytical and debugging abilities.
  • Expertise with modern deep learning frameworks such as JAX or PyTorch.

Responsibilities

  • Develop next-generation, ML-powered systems that enhance the capabilities of the ML driver and accelerate the rapid scaling of Waymo’s business.
  • Fine-tune, adapt, and benchmark state-of-the-art generative models to improve autonomous vehicle perception, motion prediction, and trajectory planning.
  • Write high-quality, scalable, and thoroughly tested code to bring cutting-edge ML into production.
  • Partner with world-class engineers and product managers to deliver safe and smooth autonomous vehicle behaviors.

Skills

Python
C++
ML deployment
Debugging

Education

MS in CS/ML/Robotics or equivalent

Tools

JAX
PyTorch

Job description

Waymo LLC in Mountain View, CA, seeks an Engineer for Driver Refinement and Validation (DRV) to bridge ML research and real-world vehicle performance. You will engineer validation and onboard systems ensuring safe, predictable autonomous maneuvers.

You will develop ML-powered systems, fine-tune models for perception, motion prediction, and trajectory planning, and write scalable code to deploy ML in production, partnering with top engineers and product managers.

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