Perception Machine Learning Engineer - Continuous Learning

About this role

Waymo seeks a Perception Machine Learning Engineer to design automated systems that continuously improve autonomous driving models through active learning and intelligent data curation. You'll bridge model architecture and large-scale data infrastructure, managing the full lifecycle of fleet-generated sensor data to keep perception systems adapting to real-world complexity.

What you'll do

• Design and scale data pipelines to mine, ingest, and manage massive sensor data volumes from the autonomous fleet
• Deploy active learning algorithms to identify and select high-impact training data for continuous model adaptation
• Develop evaluation methods and ground-truth-free metrics to detect model regressions and ensure real-world performance
• Conduct large-scale experiments on data balancing, subset selection, and label quality to optimize training efficiency
• Build mining and evaluation pipelines for rare, safety-critical edge-case scenarios
• Leverage uncertainty estimation and embedding analysis to guide automated data acquisition and uncover model blind spots

What they're looking for

• Active learning in production environments
• Large-scale ML data pipeline construction (mining, extraction, auto-labeling, ingestion)
• Data curation and core set selection strategies
• Python and deep learning frameworks (PyTorch or JAX)
• Production-grade software engineering and code quality
• Computer vision and perception systems
• Uncertainty estimation and model confidence analysis
• C++ (preferred)

Benefits

• Discretionary annual bonus program
• Equity incentive plan participation
• Generous company benefits program
• Hybrid work arrangement
• Opportunity to shape autonomous driving technology
• Collaborative cross-functional environment