Undergraduate research assistant conducting studies on the ecology of insects in agricultural systems at Penn State. Collaborate with graduate students and researchers on pest management strategies and data analysis.
WA
Hybrid Research Scientist, RL for Autonomous Planning – World Modeling
Posted 2 months ago
About the role
- Research Scientist at Waymo developing RL solutions for Autonomous Vehicle planning and world modeling. Collaborating with teams to enhance AI Foundations for safe vehicle operation.
Responsibilities
- Participate in Waymo’s Foundation World Model post-training and evaluation
- Research and develop cutting edge RL and Distillation techniques for Autonomous Vehicle Trajectory Planning
- Integrate emerging research from the broader AI community into Waymo’s internal RL infrastructure, conducting rigorous ablations to identify and scale the most promising methods
- Partner with engineering and research teams across Waymo to share recipes, techniques, and post-training best practices to accelerate our collective know-how
Requirements
- PhD or Masters in Computer Science, Machine Learning, Robotics, or a similar technical field; with 3+ years of industry or post-doc research experience in Reinforcement Learning or Foundation Models
- Demonstration of original contributions to the field through high-impact publications (ArXiv, peer-reviewed conferences like NeurIPS/ICLR/CVPR), technical blog posts, or significant open-source contributions
- Proficiency in implementing model training flows in a scalable, distributed and performant manner such as Data parallel, FSDP and other sharding approaches
- A willingness to work with complexity of globally distributed inference infrastructure
Benefits
- Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program
- equity incentive plan
- generous Company benefits program, subject to eligibility requirements
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