Waymo is looking to develop machine learning solutions addressing open problems in autonomous driving to safely operate Waymo vehicles in dozens of cities and under all driving conditions.
Requirements
- Experience solving problems using cutting-edge AI tech stacks.
- Strong experience programming in Python and deep learning frameworks such as JAX and/or PyTorch.
- Strong track record of high quality ML research, for example, demonstrated by conference publications in venues such as CVPR, ICCV, ECCV, ICML, NeurIPS, ICLR, CoRL, etc.
- Experience specifically with pre-training and/or post-training LLMs, agentic AI, computer vision, or representation learning.
Responsibilities
- Frame open-ended, real-world problems into well-defined AI problems.
- Develop and apply cutting-edge ML approaches to these problems.
- Scale your methods to Alphabet-sized data and potentially streamline them to run in real-time on cars.
- Aim to publish findings in academic conferences and journals.
Other
- Currently enrolled in a PhD program in Computer Science, Electrical Engineering, Robotics, or a similar technical field of study.
- Ability to collaborate within and across teams.
- This will be a hybrid onsite internship position.
- We will accept resumes on a rolling basis until the role is filled.
- To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in.
