Senior Research Scientist, Waymo

• PhD or Masters in Computer Science, Machine Learning, Robotics, or a similar technical field, with 2+ 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

Desirable

• This role follows a hybrid work schedule and reports to a Principal Research Scientist
• Research & Develop state-of-the-art Multimodal LLMs and World models to perform 3D Perception using sensor information from Camera, LiDAR and Radar
• Integrate emerging research from the broader AI community into Waymo’s Encoders and Sensor understanding models
• Develop and maintain scalable data pipelines for Training & Eval to process data from multiple sources
• Design and implement evaluation frameworks for perception models
• Study and analyze different behaviors of this model, such as scaling efficacy, downstream quality implications, model architecture design ablations, etc
• Design and implement Perception Modeling solutions to understand LiDAR/Camera/Radar information from autonomous vehicle sensors
• Conducting cutting-edge research and potentially communicating research findings to the wider academic community via technical reports and/or publications