2027 Summer Intern, PhD, Research, World Action Model

Research, implement, and evaluate world action models for end-to-end autonomous driving

Collaborate with research and engineering teams to improve the Waymo World Model

Conduct cutting-edge research and potentially communicate research findings to the wider academic community via technical reports and/or publication

Currently pursuing a Ph.D. in Computer Science, Robotics, Machine Learning, Electrical Engineering, or a related field

Strong publication record in top-tier AI/ML or robotics conferences

Hands-on experience training and evaluating deep learning models for autonomous driving or robotics applications

Strong Python coding skills with expertise in modern deep learning frameworks (e.g., PyTorch, JAX, TensorFlow)

Deep understanding of modern neural network architectures and learning paradigms

Experience with diffusion / flow matching models

Experience with world action models in autonomous driving or robotics applications

Familiarity with autonomous driving datasets

Experience with open-source foundation models

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.

The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company’s generous benefits programs, subject to eligibility requirements.

Hourly PhD Pay

$85 — $85 USD