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.
Machine Learning Engineer Intern, AI & Robotics
Milpitas, CA
Actively hiring, first seen by us today- Pay
$5,000–6,500/month — pay source
Compensation: $5,000 - $6,500 monthly salary
Read the full posting- Work setting
- Not stated
- Employment
- Not stated
Before you apply
- New graduates
- For current students
Currently pursuing an advanced degree in Computer Science, Robotics, Machine Learning, or a related field, with a graduation date in 2026 or 2027
What you’ll work on
Full postingTrain and improve vision-language-action and world-action robot foundation models
Build data pipelines for collection, labeling, and dataset quality checks
Design and run evaluations in simulation and on real robots
Deploy models on robots and optimize them for real-time onboard inference
Explore tactile, force-torque sensing, reinforcement learning and simulation methods
From the employer’s posting
Train and improve robot foundation models, including vision-language-action (VLA) models and world-action models
Build data pipelines for robot learning, including data collection, curation, labeling, and dataset quality assurance.
Design and run evaluations in simulation and on real robots to measure and improve model performance.
Deploy models on robots and optimize them for real-time onboard inference.
Explore new modalities and methods, including tactile and force-torque sensing, reinforcement learning, and simulation
What you’ll bring
All qualificationsCore experience
- Proficiency in multimodal models, modern machine learning architectures (e.g., transformers and diffusion models), and reinforcement learning.
- Expertise in object pose estimation, bimanual manipulation, and synthetic data.
- Proficiency in deep learning frameworks such as PyTorch, JAX, or TensorFlow.
Qualification wording
Proficiency in multimodal models, modern machine learning architectures (e.g., transformers and diffusion models), and reinforcement learning.
Expertise in object pose estimation, bimanual manipulation, and synthetic data.
Proficiency in deep learning frameworks such as PyTorch, JAX, or TensorFlow.
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 3, 2026today
- Recorded sightings
- 2
- 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 0
Early. 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.
RoboForce is hiring
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee 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.
- PyTorch
- TensorFlow
Where the posting names them
- Proficiency in multimodal models, modern machine learning architectures (e.g., transformers and diffusion models), and reinforcement learning. - Proficiency in deep learning frameworks such as PyTorch, JAX, or TensorFlow. - Requires 5 days/week in-office collaboration with the teams.
Your next step
Complete your application on job-boards.greenhouse.io. 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
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
Why RoboForce
RoboForce is an AI robotics company developing Physical AI–powered Robo-Labor for dull, dirty, and dangerous work. The company’s robots are engineered for demanding industrial environments, with a focus on real-world deployment and scalability.
We are seeking a Machine Learning Engineer Intern to join us in developing advanced AI capabilities for robotics. The internship starts from November 2026 for 3-6 months. As part of our team, you will help build the foundational AI ecosystem, spanning data collection, labeling, training, evaluation, and deployment.
You will collaborate closely with a team of world-class AI engineers and gain hands-on experience solving real-world challenges at the intersection of artificial intelligence and robotics.
Responsibilities
-
Train and improve robot foundation models, including vision-language-action (VLA) models and world-action models, for precise, contact-rich manipulation in industrial settings.
-
Explore new modalities and methods, including tactile and force-torque sensing, reinforcement learning, and simulation, to advance model capabilities.
-
Build data pipelines for robot learning, including data collection, curation, labeling, and dataset quality assurance.
-
Design and run evaluations in simulation and on real robots to measure and improve model performance.
-
Deploy models on robots and optimize them for real-time onboard inference.
-
Work closely with robotics, hardware, and product teams to bring models from research to production.
Requirements
-
Currently pursuing an advanced degree in Computer Science, Robotics, Machine Learning, or a related field, with a graduation date in 2026 or 2027.
-
Proficiency in multimodal models, modern machine learning architectures (e.g., transformers and diffusion models), and reinforcement learning.
-
Proficiency in deep learning frameworks such as PyTorch, JAX, or TensorFlow.
-
Requires 5 days/week in-office collaboration with the teams.
Bonus Qualifications
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Exposure to robot learning using tactile and/or vision-based sensors.
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Expertise in object pose estimation, bimanual manipulation, and synthetic data.
Duration:
- 3–6 months, full-time
Compensation:
- $5,000 - $6,500 monthly salary
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Compensation: $5,000 - $6,500 monthly salary
- Location & working pattern
Milpitas, CA
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.