Waymo is looking to solve open problems in autonomous driving by developing machine learning solutions to safely operate Waymo vehicles in diverse environments and conditions, ultimately aiming to improve mobility and reduce traffic fatalities.
Requirements
- Familiarity with major ML Frameworks (JAX, Pytorch)
- Strong coding skills in Python
- 3+ years of experience with Deep Learning and Generative Models, and Reinforcement Learning
- Publications at top-tier conferences such as CVPR/ICCV/ECCV/ICLR/ICML/NeurIPS/IROS/CoRL etc.
- Substantial involvement in and contributions to high impact industry AI projects
- Familiarity with post-training LLMs, including work on reasoning or tool usage
Responsibilities
- Design and implement scalable self-driving simulators that balance between realism and throughput
- Design and implement techniques to enable LLMs to effectively incorporate tool usage
- Develop and maintain reinforcement learning algorithms, including effective reward signals
- Conduct cutting-edge research and potentially communicate research findings to the wider academic community via technical reports and/or publications
Other
- Currently enrolled in a PhD program in computer science, statistics, applied mathematics, physics, or a related technical field of study
- Communicate to both technical and non-technical audiences regarding research motivations and research findings
- Help solve challenging problems with a direct impact on the company
- Competitive compensation packages with a housing/relocation bonus (if applicable)
- Medical, dental, and vision insurance
