Machine Learning Engineer (infra), Driver Understanding And Evaluation

Waymo

Mountain View, CA, United States
Base: $170,000 - $216,000 usd; bonus/equity: discr...
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3+ years machine learning infrastructure experience
Distributed training techniques expertise
Pytorch jax tensorflow ray framework contributions
** Waymo is seeking a Machine Learning Engineer to join its Driver Understanding and Evaluation (DUE) team in Mountain View, CA. The ideal candidate will have extensive experience in machine learning infrastructure and a passion for improving autonomous vehicle technology. **

Job Summary

  • The DUE Machine Learning team builds scalable systems to evaluate driving behaviors using expert human judgements and advanced machine learning models.
  • Candidates will design and scale large distributed systems covering the entire ML lifecycle to support planet-scale dataset generation and model training.
  • Waymo employees are eligible for a discretionary annual bonus program, equity incentive plan, and generous company benefits.

Matching Summary

Match Score: 75

** Waymo is seeking a Machine Learning Engineer to join its Driver Understanding and Evaluation (DUE) team in Mountain View, CA. The ideal candidate will have extensive experience in machine learning infrastructure and a passion for improving autonomous vehicle technology. **

Salary

Base: $170,000 - $216,000 USD; Bonus/Equity: Discretionary annual bonus and equity incentive plan available; Benefits: Generous Company benefits program

Skills & Requirements

Must-have

  • 3+ years machine learning infrastructure experience
  • Distributed training techniques expertise
  • PyTorch Jax Tensorflow Ray framework contributions
  • Gradient sharding optimization strategies
  • Large-scale system architecture design

Nice-to-have

  • Experience in autonomous vehicles domain
  • Familiarity with large-scale simulation platforms
  • Robotics or complex simulation environment background

Key Requirements

  • M.S. or Ph.D. in Computer Science or related field
  • 3+ years in machine learning infrastructure development
  • Strong expertise in distributed training and scaling

Work Rights

Not specified

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