Waymo
Staff Technical Lead Manager, ML Sensor Validation
$238K–$302K
Mountain View, CA, USA +2 · Staff · Full-time · Posted Jul 25, 2025
- Location
- Mountain View, CA, USA
San Francisco, CA, USA
Mountain View, California, United States - Experience
- 6+ years in ML-driven real-time robotics systems; 4+ years leading technical teams; 2+ years of people management.
- Education
- MS in Computer Science, Robotics, Math, Physics, or equivalent industry experience.
About the job
Lead a team developing and operating machine-learning sensor anomaly detection, calibration, and validation systems for Waymo’s autonomous vehicles.
What you'll do
- Lead and build a team of ML engineers focused on sensing anomaly detection and calibration.
- Develop a data flywheel that uses VLMs to generate training data for rare sensor degradation events.
- Own the sensor validation stack and coordinate work across perception, systems engineering, evaluation, and Alphabet teams.
What they ask for
- MS in Computer Science, Robotics, Math, Physics, or equivalent industry experience.
- 6+ years designing, training, and deploying ML-driven real-time robotics systems.
- 4+ years leading technical teams and setting technical direction.
- 2+ years of people management experience.
Nice to have
- PhD in Computer Science, Robotics, Math, Physics, or a related technical field.
- Experience in robotics, autonomous systems, automotive industries, sensor modalities, early fusion multimodal models, or rare-instance or zero-shot detection.
Pay
$238,000 — $302,000 USD base salary
Tools
ML, VLMs, LiDAR, radar, cameras
AI focus
Use VLMs to automatically generate training data for rare sensor degradation events; develop ML-driven sensor anomaly detection and calibration.
Model-written summary · the original posting is authoritative