Senior/Staff Machine Learning Engineer, Simulation Realism
Core
Building state-of-the-art simulations of realistic environments for testing and training the Waymo Driver by generating high-fidelity world representations from multi-modal sensor datasets.
Role type
Senior/Staff Machine Learning Engineer (Simulation Realism)
Builds
Scalable simulation systems and high-fidelity world representations for autonomous driving
Domain
Autonomous driving / Computer Vision / Sensor Fusion
Deliverable
production ML models
Required skills
Deep Learning, Machine Learning, Computer Vision, Sensor Fusion, Data Quality Assessment, Python, TensorFlow, PyTorch
Preferred skills
PhD in Computer Science, Autonomous vehicle sensor data experience, Data labeling expertise, Research-to-production transition
Technologies
TensorFlow, PyTorch
Responsibilities
Apply ML to enhance quality and accuracy of labeled data from multi-modal sensors; Develop models to identify and correct issues in perception-based data; Analyze data quality and investigate anomalies; Collaborate with perception and simulation teams to refine data requirements; Lead efforts to address complex data quality challenges and define ML strategies for high-fidelity data generation