Staff Technical Lead Manager, ML Sensor Validation
Core
Lead a team of ML engineers to build reliable sensing anomaly detection and calibration systems for Waymo's autonomous vehicle stack, ensuring sensors 'just work' across the fleet.
Role type
Staff Technical Lead Manager, ML Sensor Validation
Builds
Sensor validation stack, anomaly detection models, and automated training data flywheels for sensor degradation events.
Domain
Autonomous driving, robotics, sensor fusion (LiDAR, radar, cameras)
Deliverable
production ML models | infrastructure
Required skills
ML-driven real-time robotics system design, technical team leadership, technical direction setting, people management
Preferred skills
PhD in CS/Robotics/Math/Physics, robotics/autonomous systems experience, multi-modal sensor modality expertise, early fusion multi-modal model development, rare instance/zero-shot detection
Technologies
VLMs, sensor data alignment algorithms, sensor health backend
Responsibilities
Lead and build a team of ML engineers for anomaly detection and calibration; Build a data flywheel for training data on sensor degradation; Own the end-to-end sensor validation stack; Drive collaborations between perception, system engineering, evaluation, and Alphabet teams
Seniority
Staff, hands-on IC with significant people management