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.
ML & Cloud Infrastructure Engineer Intern
South San Francisco · South San Francisco, California, United States
Open 3 months, first seen by us 113 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
Internship — employment source
Employment type: Internship
From the employer’s posting- Team
R&D - Software — team source
Department: R&D - Software
From the employer’s posting
Before you apply
- New graduates
- For current students
Pursuing BS/MS/PhD in CS or related field
What you’ll work on
Full postingBuild and operate training, data, or evaluation infrastructure used daily by the software team
Work with GPU clusters, orchestration, and data pipelines at scale
Instrument, monitor, and harden the pipeline you ship
Own a defined deliverable end-to-end with a dedicated mentor
Test your work on real robots at the office
From the employer’s posting
Build and operate training, data, or evaluation infrastructure used daily by the wider SW team
Work with GPU clusters, orchestration, and data pipelines at scale
Instrument, monitor, and harden the pipeline you ship
you own a defined deliverable end-to-end, work with a dedicated mentor
Test your work on real robots at the office
What you’ll bring
All qualificationsCore experience
- Pursuing BS, MS, or PhD in CS or a related field
- Strong Python
- Familiarity with cloud services (AWS/GCP), containers, and CI/CD
- Evidence of building infrastructure or data systems
- Legally authorized to intern in the United States for 3 or 6 months
Qualification wording
Pursuing BS/MS/PhD in CS or related field
Strong Python
familiarity with cloud services (AWS/GCP), containers, and CI/CD
Evidence of building infrastructure or data systems
Legally authorized to do an internship in the United States for either 3 months or 6 months
Education & alternatives
- Test your work on real robots at the office. - Opportunity to publish (for PhD interns). - Attend Tier-1 industry conferences.
What we look for - Pursuing BS/MS/PhD in CS or related field. - Strong Python; familiarity with cloud services (AWS/GCP), containers, and CI/CD.
Posting record
Report an errorOpen 3 monthsWe first saw this posting 113 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jul 21, 2026113 days ago
- Recorded sightings
- 57
- Last seen by us
- Nov 10, 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 113
Up longer than most. Similar jobs usually come down between day 8 and day 75.
From 5,207 similar postings that came down. Coming down is not always a hire.
Gritt Robotics is hiring
3 open jobs
- No new data jobs since July
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
- AWS
- GCP
- Kubernetes
- Spark
- Terraform
Where the posting names them
- Pursuing BS/MS/PhD in CS or related field. - Strong Python; familiarity with cloud services (AWS/GCP), containers, and CI/CD. - Evidence of building infrastructure or data systems.
Nice to have - Kubernetes, Ray, Spark, Terraform, observability stacks, or ML experiment tooling.
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
Gritt is an intelligent system that combines robotics and AI to build the infrastructure that pulls society forward. Gritt deploys via simple attachments to common equipment found on construction sites and autonomously performs labor-intensive tasks, verification, and planning. Gritt systems are already building critical infrastructure in the harshest outdoor environments, starting with large-scale solar. The founding team includes experts in robotics and AI from Carnegie Mellon, Stanford, and MIT. Gritt is backed by Obvious Ventures, Union Square Ventures, First Round Capital, Climactic, Congruent Ventures, and other leading firms.
Role: ML & Cloud Infrastructure Engineer Intern
Location: SF Bay Area (in-person)
About Internships at Gritt
Our internships are scoped projects: you own a defined deliverable end-to-end, work with a dedicated mentor, and demo your work to the whole team. Many interns receive return or full-time offers. This will be an internship for one of two durations: 3 months, or 6 months.
We offer competitive salaries, and the opportunity to work on a mission with tremendous climate impact.
What you'll get to work on
Build and operate training, data, or evaluation infrastructure used daily by the wider SW team.
Work with GPU clusters, orchestration, and data pipelines at scale.
Instrument, monitor, and harden the pipeline you ship.
Test your work on real robots at the office.
Opportunity to publish (for PhD interns).
Attend Tier-1 industry conferences.
An example project could be anything from an auto-curation pipeline that mines fleet logs for rare events (gusts, occlusions, near-misses) to feed training, to a regression harness that replays field scenarios against each new model release.
What we look for
Pursuing BS/MS/PhD in CS or related field.
Strong Python; familiarity with cloud services (AWS/GCP), containers, and CI/CD.
Evidence of building infrastructure or data systems.
Should be comfortable taking ownership of tasks with light supervision.
Must have excellent problem-solving skills.
Legally authorized to do an internship in the United States for either 3 months or 6 months.
Nice to have
Kubernetes, Ray, Spark, Terraform, observability stacks, or ML experiment tooling.
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
South 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.