Machine Learning Engineer Summer Intern (2027, MS/PhD, Simulator Realism Evaluation)

Join Waymo, a leader in autonomous driving technology, as a Machine Learning Engineer Summer Intern. You'll work on complex technical challenges in robotics, perception, decision-making, and deep learning. This internship offers a unique opportunity to apply your knowledge, expand your skill set, and make a meaningful impact on the future of transportation.

Responsibilities

• Conduct ML modeling experiments and prototyping to build state-of-the-art evaluation tools.
• Write code within Waymo’s simulator and evaluation systems, and design statistical experiments to evaluate the efficacy of ML discriminators.
• Collaborate across organizations to deliver impact to both onboard teams and downstream safety and simulation technology launch stakeholders.
• Solid foundation in core computer science concepts (data structures, algorithms, object-oriented design)
• Interest in autonomous driving, simulation, evaluation, and physical AI

Requirements

• Enrolled in a graduate program (Master's or PhD) in Computer Science, Computer Engineering, Electrical Engineering, Systems Engineering, Robotics, or a related technical field

Proficiency in software development using C++ or Python

• Solid foundation in ML and statistics models, algorithms, and libraries
• Knowledge of software systems, including distributed systems and accelerated computing
• Knowledge/prior experience with physical systems (physics, robotics, physical AI)
• Proficiency in SQL
• Strong written/verbal communication and cross-functional collaboration skills