Pay
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,279 postings in the last year. Stated ranges, not salaries paid.
2027 Summer Intern, MS/PhD, Machine Learning, Driver Refinement Foundations
San Francisco, CA, USA
Actively hiring, first seen by us 11 days ago- 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
Before you apply
- New graduates
- For current students
Currently enrolled in a graduate program (Master's or PhD) in Computer Science or a related technical field
What you’ll work on
Full postingMine and curate dataset samples from a large corpus of driving data
Leverage large language and world foundation models for reasoning and decisions
Design and implement robust data generation pipelines
Design and evaluate experiments for model training
From the employer’s posting
Mine and curate dataset samples from large corpus of driving data
Leverage large language models and world foundation models for reasoning, decision making and multi-modality generation
Design and implement robust data generation pipelines for data generation
Design and evaluate experiments for model training
What you’ll bring
All qualificationsCore experience
- Currently enrolled in a Master's or PhD program in CS or a related technical field
- Strong problem solving and programming skills in Python and/or C++
- Good understanding of Jax or PyTorch
- Experience in model evaluation and understanding metrics
- Experience with strong software engineering principles
Qualification wording
Currently enrolled in a graduate program (Master's or PhD) in Computer Science or a related technical field
You have strong problem solving and programming skills in Python and/or C++
Good understanding of Jax/Pytorch
Experience in model evaluation and understanding metrics
Experience in strong software engineering principles
Education & alternatives
You have: - Currently enrolled in a graduate program (Master's or PhD) in Computer Science or a related technical field - You have strong problem solving and programming skills in Python and/or C++
- Previous Internship experience - PhD preferred General Perks
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
Posting record
Report an errorActively hiringFirst seen by us 11 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 24, 202611 days ago
- Recorded sightings
- 80
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 11
Similar jobs usually come down between day 6 and day 69.
From 4,296 similar postings that came down. Coming down is not always a hire.
Waymo is hiring
81 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- ML Engineer hiring is picking up
- Its jobs tend to stay up a long time
- 1% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- C++
- Python
- SQL
- PyTorch
Where the posting names them
- Currently enrolled in a graduate program (Master's or PhD) in Computer Science or a related technical field - You have strong problem solving and programming skills in Python and/or C++ - Good understanding of Jax/Pytorch
We prefer: - Some understanding of SQL is preferred, not required - Previous Internship experience
- You have strong problem solving and programming skills in Python and/or C++ - Good understanding of Jax/Pytorch - Experience in model evaluation and understanding metrics
Your next step
Complete your application on careers.withwaymo.com. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
Has Waymo posted this job before?
Yes. We’ve followed one other 2027 Summer Intern, MS/PhD, Machine Learning, Driver Refinement Foundations job there since October 2026. It is still up.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
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.
The team for this role will be:
Driver Refinement Foundations
Description:
The team is accountable for providing the common, consistent framework (and enabling expertise) for post-training and heuristic hill climbing across the entire Planner organization. We build fundamental platforms to assist Waymo engineers in delivering driving behavior improvements using data-driven and heuristic methods.
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:
- Mine and curate dataset samples from large corpus of driving data
- Leverage large language models and world foundation models for reasoning, decision making and multi-modality generation
- Design and implement robust data generation pipelines for data generation
- Design and evaluate experiments for model training
- Designing robust data generation pipelines for model training
You have:
- Currently enrolled in a graduate program (Master's or PhD) in Computer Science or a related technical field
- You have strong problem solving and programming skills in Python and/or C++
- Good understanding of Jax/Pytorch
- Experience in model evaluation and understanding metrics
- Experience in strong software engineering principles
We prefer:
- Some understanding of SQL is preferred, not required
- Previous Internship experience
- PhD preferred
General Perks
- Help solve challenging problems with a direct impact on the company
- Competitive compensation packages with a housing/relocation bonus (if applicable)
- Medical, dental, and vision insurance
- Fun intern events and networking opportunities
Onsite Perks
- Free breakfast, lunch, dinner, and snacks
- Free access to Google shuttles
- Onsite gym
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.
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
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, CA, USA
- Onsite gym 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.