The opportunity
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to…
What you'll do
Build scalable systems for training and fine-tuning large-scale generative: models to produce realistic and evaluate interesting driving behaviors.
Lead the implementation, and iteration of novel RL algorithms, reward: functions, and training paradigms tailored for generating high-fidelity and insightful driving behaviors
Lead the development of cutting-edge Deep Learning models and Generative AI: (LLM/VLM) solutions to enhance human-led triaging, introduce automation for high-volume workflows, and perform nuanced analysis of self-driving behavior to detect critical anomalies.
Oversee the production and optimization of machine learning models aiming to: assess Waymo’s expansive fleet of vehicles that cumulatively travel millions of miles.
Proactively monitor and assimilate best practices from within Alphabet and: the broader industry to develop a novel Reinforcement Learning from Human Preference (RLHF) based data collection and evaluation system.
Collaborate closely with multiple teams (e.g., Prediction, Planning,: Research), other technical leads, and senior leaderships across Waymo to deliver on key strategic efforts.
What they're looking for
- M.S. or Ph.D. degree Computer Science, Machine Learning, Artificial: Intelligence, or a related technical field, or equivalent practical experience.
- + years of hands-on experience in developing and applying Machine Learning: models, with a significant focus on Reinforcement Learning.
- Demonstrated expertise in deep learning, sequence modeling, and generative models.
- Strong publication record or history of impactful project delivery in RL or related areas.
