2027 Summer Intern, MS/PhD, Machine Learning, Simulation Realism

Overview

Waymo offers a summer internship position focused on machine learning and simulation realism for graduate students. The role takes place within the software engineering environment, which develops the perception, decision-making, and deep learning systems for autonomous driving technology. Interns work alongside industry leaders on impactful projects designed to apply existing knowledge while expanding professional skill sets.

Who can apply

Candidates must currently be enrolled in a Master's or PhD program in Computer Science, Robotics, or a related technical field. Applicants should possess coding proficiency in Python and practical experience with deep learning frameworks such as TensorFlow, Jax, or PyTorch. Preferred qualifications include familiarity with attention mechanisms and autoregressive architectures, diffusion applied to multimodal data, and prior experience working with autonomous driving or robotics.

What you get

Participants contribute directly to ongoing company projects by integrating research concepts and executing training and evaluation experiments. Interns also gain eligibility to participate in the company benefits programs, subject to applicable eligibility requirements.

Requirements

Applicants need to submit resumes on a rolling basis until the position is filled. Individuals wishing to be considered for multiple roles are required to apply to each position individually, with a limit of applying to the top three roles of interest.

Key dates

Resumes are accepted on a rolling basis until the role is filled.