Hybrid Remote Staff ML Sensor Validation Lead

Waymo; Mountain View (CA); Hybrid; USD 238,000 - 302,000; Full time

Benefits offered by this job

Discretionary annual bonus program

Equity incentive plan

Generous Company benefits program

Job summary

An innovative autonomous driving technology company is seeking an experienced professional to lead a team of ML engineers in sensor anomaly detection and calibration. This hybrid role involves owning the entire sensor validation stack and driving collaborations across various teams. Candidates should have an MS in relevant fields and extensive experience in machine learning and robotics, along with strong leadership skills. The position offers a competitive salary range between $238,000 and $302,000 USD, depending on qualifications and location.

Qualifications

• 6+ years of experience in 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 for sensing anomaly detection and calibration.
• Build a data flywheel for generating training data for sensor degradation events.
• Own the entire sensor validation stack end to end.
• Accelerate collaborations between perception, engineering, and Alphabet teams.

Skills

Machine Learning

Robotics

Data Analytics

Team Leadership

Education

MS in Computer Science, Robotics, Math, Physics

PhD in relevant fields

Tools

LiDAR

Radar

Cameras

Job description

An innovative autonomous driving technology company is seeking an experienced professional to lead a team of ML engineers in sensor anomaly detection and calibration. This hybrid role involves owning the entire sensor validation stack and driving collaborations across various teams. Candidates should have an MS in relevant fields and extensive experience in machine learning and robotics, along with strong leadership skills. The position offers a competitive salary range between $238,000 and $302,000 USD, depending on qualifications and location.