Waymo

Machine Learning Engineer, Scenes

Waymo
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1 day ago
Mountain View, CA, USA or San Francisco, CA, USAMid Level
H1B sponsor

Base Salary

$175k - $215k/yr

Responsibilities

  • Develop next-generation ML-powered systems for autonomous driving.
  • Fine-tune, adapt, and benchmark generative models for vehicle perception, motion prediction, and trajectory planning.
  • Write scalable, thoroughly tested code and bring ML systems into production.
  • Partner with engineers and product managers to deliver safe, smooth, and predictable autonomous vehicle behaviors.

Requirements

  • An MS in Computer Science, Machine Learning, Robotics, or a related technical field, or equivalent practical experience.
  • Hands-on experience deploying, evaluating, and maintaining ML-based systems in real-world production environments.
  • Proficiency in Python and/or C++ with strong analytical and debugging abilities.
  • Expertise with modern deep-learning frameworks such as JAX or PyTorch.
  • Preferred qualifications include deep learning, reinforcement learning, ML systems, applied ML or software development experience, relevant publications, and motion-planning, prediction, or robotics expertise.

Benefits

  • Eligibility for a discretionary annual bonus program, equity incentive plan, and company benefits program, subject to eligibility requirements.
  • Full-time position with a stated US base salary range of $175,000–$215,000; specific location-based range may vary and remote eligibility may depend on the role.

Categories

Waymo

About Waymo

1,001-5,000 employees

Waymo develops the Waymo Driver, a full-stack autonomous driving system, and operates the Waymo One robotaxi service that offers paid, driverless rides in select U.S. cities. The company monetizes through ride-hailing fares and partnerships integrating its technology on multiple vehicle platforms. Founded in 2009 as Google’s self-driving project, Waymo is headquartered in Mountain View and is an Alphabet subsidiary, with over 10 million rider-only trips and 100+ million autonomous miles on public roads.

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