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

Job Description

Waymo is an autonomous driving technology company with the mission to be the world’s most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World’s Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. Software Engineering builds the brains of Waymo’s fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve complex technical challenges in areas like robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers. If you’re a software engineer or researcher who’s curious and passionate about Level 4 autonomous driving, we’d like to meet you.
Waymo interns partner with leaders in the industry on projects that create impact to the company. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship!
Conduct ML modeling experiments and prototyping to build state-of-the-art evaluation tools.
Design statistical experiments to evaluate the efficacy of ML discriminators.
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 core computer science concepts (data structures, algorithms, object-oriented design).
Solid foundation in ML and statistics models, algorithms, and libraries.
Knowledge of software systems, including distributed systems and accelerated computing.
Interest in autonomous driving, simulation, evaluation, and physical AI.
Knowledge/prior experience with physical systems (physics, robotics, physical AI).
Proficiency in SQL.
Note: This will be a hybrid onsite internship position. The expected hourly rate for this full-time position is listed below. Hourly Masters Pay
$The expected hourly rate for this full-time position is listed below. Hourly PhD Pay
$