Senior ML Engineer - Autonomous Driving Systems

Waymo; San Francisco (CA); Hybrid; USD 213,000 - 263,000; Full time

Benefits offered by this job

Bonus program

Equity incentives

Benefits package

Job summary

Waymo in San Francisco is seeking a senior ML engineer to lead model development for safety-critical driving behaviors, spanning data collection, experiments, and deployment on the fleet.

The role requires 5+ years of production ML experience, strong physics intuition, and proficiency in C++ and Python. Hybrid work schedule and collaboration with product and engineering teams are core.

The company offers a discretionary annual bonus, equity incentives, and comprehensive benefits.

Qualifications

• 5+ years of 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.
• Proven ability to work cross functionally with both Product and Engineering stakeholders.
• Experience with ML models for autonomous systems and SQL is a plus.

Responsibilities

• Lead ML model development end-to-end for safety critical driving behaviors to evaluate and enhance the performance, safety and scalability of our self driving system
• Design experiments and assess results to make clear data-driven decisions
• Find new ways to gather the required data needed to improve our models and improve data quality
• Communicate benefits and limitations of new models and metrics to partner teams
• Integrate and deploy metrics and models on fleet-wide data
• Be able to operate on both tactical and strategic timescales

Skills

ML modeling

C++

Python

Data-driven decision making

Cross-functional collaboration

SQL

Tools

AI frameworks

Job description

Waymo in San Francisco is seeking a senior ML engineer to lead model development for safety-critical driving behaviors, spanning data collection, experiments, and deployment on the fleet.

The role requires 5+ years of production ML experience, strong physics intuition, and proficiency in C++ and Python. Hybrid work schedule and collaboration with product and engineering teams are core.

The company offers a discretionary annual bonus, equity incentives, and comprehensive benefits.