Hybrid Remote: Staff ML Lead for Sensor Health

Waymo LLC; San Francisco (CA); Hybrid; USD 238,000 - 302,000; Full time

Job summary

Waymo LLC in San Francisco seeks a Senior ML Engineering Manager to lead a team focused on reliable sensing, anomaly detection and calibration for the Waymo Driver. You will shape ML strategy, build robust pipelines, and mentor engineers in a hybrid remote/in‑office setting.

The role requires a MS in a technical field and 6+ years designing and deploying ML-driven robotics systems, plus 2+ years of people management.

Qualifications

• 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 directions.
• 2+ years of people management experience.

Responsibilities

• Lead and build a team of ML engineers in charge of reliable sensing anomaly detection and calibration.
• Build a data flywheel to automatically generate suitable training data for rare instance sensor degradation events using VLMs.
• Own the entire sensor validation stack end to end.
• Drive and accelerate collaborations between perception, system engineering, evaluation, and Alphabet teams.

Skills

ML engineering leadership

Real-time robotics ML

People management

Cross-functional collaboration

Education

MS in CS/Robotics/Math/Physics

Tools

LiDAR

Radar

Cameras

Sensor fusion

Job description

Waymo LLC in San Francisco seeks a Senior ML Engineering Manager to lead a team focused on reliable sensing, anomaly detection and calibration for the Waymo Driver. You will shape ML strategy, build robust pipelines, and mentor engineers in a hybrid remote/in‑office setting.

The role requires a MS in a technical field and 6+ years designing and deploying ML-driven robotics systems, plus 2+ years of people management.