Staff Machine Learning Engineer, Driver Understanding and Evaluation
Core
Building scalable ML systems, simulation workflows, and Gen AI solutions to evaluate Waymo's autonomous driving behavior, analyze user feedback, and optimize the driver's performance.
Role type
Staff Machine Learning Engineer (Autonomous Driving Evaluation)
Builds
Scalable ML/data systems, simulation workflows, Gen AI LLM/VLM solutions for behavior analysis, and tools for multi-label classification and sentiment assessment.
Domain
Autonomous driving / Machine Learning / Gen AI
Deliverable
production ML models | product features
Required skills
Deep Learning, Generative AI (LLM/VLM), Reinforcement Learning from human preference, Multi-label classification, Sentiment analysis, Root cause analysis, Model deployment at scale
Preferred skills
Transformers, MLOps, Large-scale data processing, Model performance optimization
Technologies
TensorFlow, PyTorch, Hugging Face transformers, C++, Python
Responsibilities
Lead development of Deep Learning models for automation in high-volume workflows; Design and build Gen AI LLM/VLM solutions for behavior analysis and anomaly detection; Oversee production and optimization of ML models for fleet assessment; Collaborate with product teams to design tools for feedback analysis and trend analysis; Drive technical direction and provide guidance to the team.
Seniority
Staff, hands-on IC with technical leadership