Staff Machine Learning Engineer, DUE

Waymo seeks a Staff Machine Learning Engineer for the Driver Understanding and Evaluation (DUE) team. The role involves developing deep learning and Gen AI models for autonomous vehicle behavior analysis and evaluation. You will lead ML projects, build scalable data systems, and collaborate across teams to improve the Waymo Driver's performance.

• Lead the development of cutting edge Deep Learning and machine learning models to enhance human-led triaging and introduce automation for high-volume workflows; Design and build Gen AI LLM/VLM solutions for self driving car behavior analysis and anomaly detection; Proactively monitor and assimilate best practices from within Alphabet and the broader industry to develop a Reinforcement Learning from human preference-based data collection and evaluation system; Enhance User Feedback Analysis, collaborate seamlessly with product and business teams to design and implement tools for multi-label classifications, sentiment assessment, comment summarization, root cause analysis and trend analysis of rider feedback; Oversee the production and optimization of machine learning models aiming to assess Waymo's expansive fleet of vehicles that cumulatively travel millions of miles; Drive technical direction, and provide technical inputs and guidance to the team; Work closely with PMs and TPMs to help define product requirements and align the technical agenda with the company's business objectives; Collaborate closely with multiple teams (e.g., Prediction, Planning, Research), other technical leads, and senior leaderships across Waymo to deliver on key strategic efforts.