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
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.
What they're looking for
- Conducting cutting-edge research and potentially communicating research: findings to the wider academic community via technical reports and/or publications.
- 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.