Senior/Staff Machine Learning Engineer (Simulation Realism)

TL;DR

Senior/Staff Machine Learning Engineer (Simulation Realism): Apply machine learning to enhance the quality and accuracy of labeled multi-modal sensor data and build models that identify and correct perception-based issues for simulation. Focus on solving complex data quality challenges and defining ML strategies for high-fidelity data generation with an emphasis on computer vision, sensor fusion, and perception.

Location: On Site (Mountain View, California)

Salary: $251,000—$310,000 USD

Company

Waymo is an autonomous driving technology company building the Waymo Driver for fully autonomous ride-hail.

What you will do

• Enhance the quality and accuracy of labeled data derived from multi-modal sensors using ML.
• Develop and implement models to identify and correct issues in perception-based data for simulation.
• Analyze data quality, investigate anomalies, and drive improvements in data labeling pipelines.
• Collaborate with perception and simulation teams to refine data requirements and quality standards.
• Lead efforts to address complex data quality challenges and define ML strategies for high-fidelity data generation.

Requirements

• MS or BS in Computer Science or a related field.
• 5+ (L5) / 7+ (L6) years of experience in applied Deep Learning/Machine Learning.
• Strong background in computer vision, sensor fusion, or perception.
• Proficiency in Python and common ML frameworks (TensorFlow, PyTorch).
• Experience with data analysis and quality assessment.
• Strong coding and design skills.

Nice to have

• PhD degree in Computer Science or a similar discipline.
• Experience with autonomous vehicle sensor data.
• Familiarity with data labeling processes and challenges.
• Experience taking ML models from research to production.

Culture & Benefits

• Hybrid role reporting to a Sr Staff TLM.
• Eligibility for discretionary annual bonus program and equity incentive plan.
• Generous company benefits program (subject to eligibility requirements).

Hiring process

• Recruiter shares the specific salary range for the role location (and remote option, if applicable) during the hiring process.