Staff Tech Lead Manager, Machine Learning, Simulator Evaluation

Highlights

• Prove a virtual world is real by grading Waymo's autonomous driving simulator.
• Build ML-driven metrics that test World Model quality at vast scale.
• Ship AI-powered eval tools used across Waymo's autonomous fleet.

What they offer

• Discretionary annual bonus program
• Equity incentive plan
• Company benefits program

Ideal candidate

An applied ML leader who thrives on technical rigor and rapid experimentation, motivated to prove simulation realism and grow a specialized evaluation team for autonomous driving safety.

Requirements

• Degree in Computer Science, Robotics, Machine Learning, a related technical field, or equivalent practical experience
• 3+ years of hands-on technical leadership experience, directly managing and guiding high-performing engineering teams of 5-10 people
• 7+ years of experience building, deploying, and optimizing machine learning systems in production environments
• Strong software engineering proficiency in Python and/or C++
• Experience with ML frameworks like PyTorch, JAX, or Tensorflow, backed by a solid foundation in deep learning, transformers, and large-scale model deployment
• Proven ability to design robust evaluation frameworks for complex systems, combined with strong analytical skills and proficiency in large-scale data processing