The mission of the Waymo Research team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. Research areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation.

Waymo interns work alongside leaders in the industry on projects that deliver significant impact to the company. We believe learning is a two-way street: leveraging your knowledge while providing you with opportunities to expand your skill-set. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship!

You will:

• Explore introducing reasoning capabilities in motion planning ML models to enable more robust and performant end-to-end driving.
• Work with state-of-the-art autoregressive (AR) motion models (similar to Waymo’s MotionLM publication)
• Apply value learning and search algorithms to AR decoding
• Work with academic and internal datasets to explore the reward space for value learning and optimizing search.
• Explore speculative decoding for improving search feasibility

You have:

• Currently enrolled in a Masters program in computer science, robotics, statistics, applied mathematics, or a related technical field of study
• Experience in Python
• Experience with machine learning, deep learning, Foundational Models, and/or LLMs
• Familiar with one of the modern deep learning frameworks (e.g. Pytorch, JAX, Tensorflow)

We prefer:

• Familiarity and prior experience with LLMs or sequential decoding or autoregressive models
• Prior industry experience (including internships) in software engineering and machine learning roles

Note: 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.

#LI-Hybrid