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
Grow the end-to-end strategy for our next generation of machine: learning-based evaluation metrics, promoting scientific and statistical rigor across our embodied AI applications
Architect and build scalable systems for training and fine-tuning large-scale: generative models to produce realistic and evaluate interesting driving behaviors
Lead the design, 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. These solutions will enhance human-led triaging, introduce automation for high-volume workflows, and perform nuanced analysis of self-driving behavior to detect critical anomalies
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
Provide technical mentorship, guidance, and thought leadership to other: engineers within the team and across collaborating groups
What they're looking for
- Guide and align multiple teams—including Driver Understanding, Simulation,: System Engineering, Research, and Onboard Software—on a cohesive evaluation strategy, ensuring cross-functional alignment on goals and priorities
- PhD degree in 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
- + years of people management experience