Pay
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,383 postings in the last year. Stated ranges, not salaries paid.
Machine Learning Intern
San Francisco · San Francisco, California, United States
Live, first seen by us 89 days ago- Pay
- Pay not listedSimilar roles state $166K–$240K
- Work setting
On-site — work setting source
Location type: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting- Team
One Robot Interns — team source
Department: One Robot Interns
From the employer’s posting
Before you apply
- New graduates
- For current students
Job title: Machine Learning Intern
- Sponsorship
Visa sponsorship not confirmed — sponsorship source
Will you now or in the future require visa sponsorship? (Yes/No)
From the employer’s application form
What you’ll work on
Full postingContribute to world model or eval model training runs alongside founding engineers
Collect demonstration data, run policies on physical robots, and document failure modes
Write Python and PyTorch code for the data engine, training pipelines, or eval infrastructure
Run experiments testing how well simulation predicts real-robot behavior
From the employer’s posting
Work alongside founding engineers on world model or eval model experiments end-to-end
Collect demonstration data, run policies on physical hardware, and document failure modes
Write Python and PyTorch code that improves our data engine, training pipelines, or eval infrastructure
Run experiments that test how well simulation predicts real-robot behavior
What you’ll bring
All qualificationsCore experience
- Strong coding in Python and PyTorch
- Currently enrolled in a BS, MS, or PhD program in ML, robotics, computer vision, or a related field
- Hands-on experience training or fine-tuning a generative model, VLM, or policy (coursework or research counts)
- Able to work in-person in San Francisco
Qualification wording
Strong coding in Python and PyTorch
Currently enrolled in a BS, MS, or PhD program in ML, robotics, computer vision, or a related field
Hands-on experience training or fine-tuning a generative model, VLM, or policy (coursework or research counts)
Ability to work in-person in San Francisco
Education & alternatives
- Strong coding in Python and PyTorch - Currently enrolled in a BS, MS, or PhD program in ML, robotics, computer vision, or a related field - Hands-on experience training or fine-tuning a generative model, VLM, or policy (coursework or research counts)
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Aug 12, 202689 days ago
- Recorded sightings
- 49
- Last seen by us
- Nov 9, 2026
- Employer says posted
- Jul 24, 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 89
Up longer than most. Similar jobs usually come down between day 7 and day 72.
From 4,777 similar postings that came down. Coming down is not always a hire.
One Robot is hiring
2 open jobs
- No new data jobs since August
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.
- Python
- PyTorch
Where the posting names them
- Run real-robot evaluations: Collect demonstration data, run policies on physical hardware, and document failure modes - Build tooling: Write Python and PyTorch code that improves our data engine, training pipelines, or eval infrastructure - Close the sim-to-real gap: Run experiments that test how well simulation predicts real-robot behavior
Requirements: - Strong coding in Python and PyTorch - Currently enrolled in a BS, MS, or PhD program in ML, robotics, computer vision, or a related field
Your next step
Complete your application on jobs.ashbyhq.com. The employer’s form will show what is required.
Applying through Ashby
- No account needed. “Autofill from resume” at the top of the form fills the key fields from your file.
Already applied? Track this application
Demand for ML Engineer roles
New ML Engineer postings at the employers we follow are up 13% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
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
One Robot builds task-specific world models and an evaluation platform for robot manipulation policies.
Training end-to-end policies for robots is vibes-based today. Teams collect data, train, deploy on a real robot, find out what fails, collect more, retry. We replace the trial-and-error with rigorous validation that tells you where your policy will fail and what data to collect to fix it.
Robotics can't industrialize without an evaluation layer. We're building it.
We're based in San Francisco, backed by Accel, YC, several exited founders, and engineering leaders at leading AI companies. We're small and deliberately so — everyone owns a wide surface area and moves fast.
This internship is for people who want to work on real problems with real robots, not toy datasets. You'll embed directly with the technical team and contribute to active research across world models, policy training, and evaluation.
What you'll do:
Contribute to training runs: Work alongside founding engineers on world model or eval model experiments end-to-end
Run real-robot evaluations: Collect demonstration data, run policies on physical hardware, and document failure modes
Build tooling: Write Python and PyTorch code that improves our data engine, training pipelines, or eval infrastructure
Close the sim-to-real gap: Run experiments that test how well simulation predicts real-robot behavior
Requirements:
Strong coding in Python and PyTorch
Currently enrolled in a BS, MS, or PhD program in ML, robotics, computer vision, or a related field
Hands-on experience training or fine-tuning a generative model, VLM, or policy (coursework or research counts)
Ability to work in-person in San Francisco
Nice to have:
Experience with real robot hardware or simulation environments (Isaac, MuJoCo, etc.)
Prior research in manipulation, 3D vision, or model evaluation
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
San Francisco, California, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.