Waymo
Staff Machine Learning Engineer, Tech Lead, Labeling Automation
Mountain View, CA, USA · Staff+ · Full-time
Sponsorship not specified$251k-$310kDetected 16 hours ago
PythonC++Machine LearningDeep LearningTensorFlowPyTorchComputer VisionLLMsA/B TestingResearchLeadership
About the role
- The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases.
- The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
- Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level.
Responsibilities
- Lead the design and deployment of highly scalable auto-labeling pipelines that significantly improve data throughput and reduce our reliance on manual annotation bottlenecks.
- Develop automated anomaly detection and quality evaluation systems (auto-graders) to assess annotation accuracy, detect regressions, and enforce rigorous quality standards across millions of labels.
- As a Staff Software Engineer (L6) on the Labeling Team, you will lead the technical strategy for automating our data pipelines.
- You will build cutting-edge auto-labeling systems to drastically scale our throughput and develop intelligent auto-graders to guarantee exceptional data quality.
- Experience building internal tooling for ML developers
Requirements
- Experience programming in C++ or Python
Compensation
- $251,000 - $310,000 USD
Benefits
- Train, optimize, and push into production advanced 2D and 3D computer vision models.
This listing is sourced directly from Waymo's careers page and normalized into a canonical job model.