Drimva

Waymo

Senior Staff TLM, Data Mining and Sampling for ML and Evaluation

$281K–$356K

Mountain View, California, United States +5 · Senior Staff · Full-time · Posted Dec 12, 2025

Location
Mountain View, California, United States
San Francisco, California, United States
New York City, New York, United States.
Mountain View, California, United States
New York, New York, United States
San Francisco, California, United States
Experience
7+ years of industry experience; requires experience with C++, SQL, and Python, navigating and modifying a large codebase containing them, and building data processing pipelines.
Education
BS/MS in Computer Science, Robotics, Statistics, Physics, Math, or another quantitative area.

About the job

Leads a small team while developing data-mining, sampling, and automation tools to scale safety and service-quality evaluation and ML development across new cities.

What you'll do

  • Build tools and automation to mine driving logs for safety-relevant situations and create evaluation and ML datasets.
  • Develop advanced sampling techniques and tune simulations to improve the signal available for metrics and models.
  • Provide hands-on technical contributions and lead a small team, partnering across Waymo to execute strategy.

What they ask for

  • Strong engineering design, programming, data analysis, and data fluency skills.
  • Familiarity with statistical methods, including hypothesis testing, experiment design, and sampling, and with foundational and contemporary ML concepts and practices.
  • Experience managing teams of up to 8 people.
  • BS/MS in Computer Science, Robotics, Statistics, Physics, Math, or another quantitative area.

Nice to have

  • Evaluation experience, such as building and validating metrics for complex systems; strong statistical or ML background at MSc level or equivalent work expertise.
  • Experience in the autonomous vehicle industry and/or with simulations.

Pay

$281,000—$356,000 USD (base salary)

Tools

C++, SQL, Python

AI focus

Applies ML and statistical methods to mine driving logs, develop datasets, and support evaluation and model development.

Model-written summary · the original posting is authoritative

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