2027 Summer Intern, MS/PhD, Machine Learning Engineer - Simulator Realism Evaluation
San Francisco, California, United States
- Pay
Multiple pay statements — pay source
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
Read the full posting- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingRun ML modeling experiments and prototypes to build evaluation tools
Write code within Waymo's simulator and evaluation systems
Design statistical experiments to evaluate ML discriminators
Work across teams on onboard and simulation launch stakeholders
From the employer’s posting
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.
Education & alternatives
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.
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
Tools in this posting
- C++
- Python
- SQL
Source — Tool mentions in context
- 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).
- Knowledge/prior experience with physical systems (physics, robotics, physical AI). - Proficiency in SQL. - Strong written/verbal communication and cross-functional collaboration skills.
Posting record
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- Live
- First seen by us
- Oct 14, 2026 · 15 days ago
- Recorded sightings
- 100
- Last seen by us
- Oct 30, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on careers.withwaymo.com. The employer’s form will show what is required.
Already applied? Track this application
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. 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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
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.
More source context
Hourly PhD Pay $85—$85 USD
- Location & working pattern
San Francisco, California, United States
- 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. 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.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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