About this opportunity
Waymo lists this 2027 Summer Intern, MS/PhD, Machine Learning Engineer - Simulator Realism Evaluation opportunity in san francisco, California. Review the employer’s description below for duties, qualifications and application requirements.
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. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
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. We believe learning is a two-way street: applying 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:
Conduct ML modeling experiments and prototyping to build state-of-the-art evaluation tools.
Write code within Waymo’s simulator and evaluation systems.
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.
You have:
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.
We prefer:
Knowledge/prior experience with physical systems (physics, robotics, physical AI).
Proficiency in SQL.
Strong written/verbal communication and cross-functional collaboration skills.
Note: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled.
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 Masters Pay
$70—$70 USD
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
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Worksite address
san francisco, CA, 94199, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.