Jobs · Engineering · California

Senior Machine Learning Engineer, Driving Behaviors

Waymo · San Francisco, CA · 1 wk ago
Engineering$213k–$263k/yrFull-time

Job Summary

The Systems Engineering team at Waymo is seeking a skilled ML model developer to lead the development of safety-critical driving behaviors. This role involves designing experiments, assessing results, and integrating and deploying models on a fleet-wide scale.

Responsibilities

  • Lead ML model development end-to-end for safety critical driving behaviors
  • Evaluate and enhance the performance, safety, and scalability of the Waymo Driver
  • Find new ways to gather required data for improving models and improving data quality
  • Communicate benefits and limitations of new models and metrics to partner teams
  • Operate on both tactical and strategic timescales

Requirements

  • 5+ years ML modeling experience in production environments at large scale
  • Solid understanding of physics, geometry, and dynamics
  • Proficiency in C++ and Python
  • Ability to learn and utilize new frameworks quickly, employing AI tools or otherwise
  • Prior experience working with ML models for autonomous systems
  • Proficiency in SQL

Preferred

  • Experience working with ML models for autonomous systems
  • Proficiency in SQL

Qualifications

  • Experience with ML model development for safety-critical driving behaviors
  • Strong understanding of physics, geometry, and dynamics
  • Expertise in C++ and Python
  • Ability to quickly learn and utilize new AI tools
  • Excellent communication skills to work with cross-functional teams

Benefits

The role offers a competitive salary range of $213,000—$263,000 USD, a discretionary annual bonus program, equity incentives, and a comprehensive benefits package.

Pay

The expected base salary range for this full-time position across US locations is listed above. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level.

Schedule

This role follows a hybrid work schedule.

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