Drimva

Waymo

Staff Tech Lead Manager, Machine Learning, Simulator Evaluation

$251K–$310K

Mountain View, California, United States +2 · Staff · Full-time · Posted Sep 17, 2026

Location
Mountain View, California, United States
San Francisco, California, United States.
Mountain View, California, United States
Experience
3+ years of hands-on technical leadership; 7+ years building, deploying, and optimizing production ML systems.
Education
Degree in Computer Science, Robotics, Machine Learning, a related technical field, or equivalent practical experience.

About the job

Leads an applied machine learning team building simulator evaluation systems and AI-powered tools to assess World Model quality and support the safety and performance of Waymo’s autonomous fleet.

What you'll do

  • Lead and guide an applied ML team building evaluation frameworks, infrastructure, and tooling.
  • Set technical direction and develop ML-driven metrics to identify anomalies and edge cases across large datasets.
  • Partner with product, program, research, simulation, and engineering teams to deploy evaluation solutions in production systems.

What they ask for

  • Degree in Computer Science, Robotics, Machine Learning, a related technical field, or equivalent practical experience.
  • 3+ years of hands-on technical leadership managing and guiding engineering teams of 5–10 people.
  • 7+ years building, deploying, and optimizing machine learning systems in production environments.
  • Proficiency in Python and/or C++; experience with PyTorch, JAX, or Tensorflow; and ability to design robust evaluation frameworks.

Nice to have

  • M.S. or PhD. in Computer Science, Robotics, Machine Learning, or a related quantitative field.
  • Experience with large-scale generative models, GPU/TPU clusters, MLOps systems, or AI-powered products and developer tools.

Pay

$251,000 — $310,000 USD (base salary)

Tools

Python, C++, PyTorch, JAX, Tensorflow, GPU/TPU

AI focus

Builds AI-powered simulator evaluation tools and frameworks for World Model understanding and quality assessment, including evaluation of generative models.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 5, 2026 (UTC)