Machine Learning Engineer Intern, AI & Robotics
Milpitas, CAFull-time$5,000–6,500/moPosted 2 days agoStill listed 1 day ago
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At a glance
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Job overview
RoboForce is seeking a Machine Learning Engineer Intern to develop AI capabilities for robotics, from data collection and model training through evaluation and deployment. The intern will work on robot foundation models for industrial manipulation and collaborate with AI, robotics, hardware, and product teams. The internship starts in November 2026, lasts 3–6 months, and requires five days per week in the office.
Skills & qualifications
Skills
Qualifications
Full 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
• Exposure to robot learning using tactile and/or vision-based sensors.
• Expertise in object pose estimation, bimanual manipulation, and synthetic data.
Duration:
- 3–6 months, full-time
Compensation:
- $5,000 - $6,500 monthly salary
How this job compares
Set against the 6,127 open Machine Learning Engineer jobs on Olive Jobs, counted November 6, 2026.
- Pay
- This posting$5,000–6,500/mo
- California median$177–262K/yr1,407 salary ranges
- California median$48–74/hr36 hourly ranges
- Openings
- Olive Jobs lists 1,880 open Machine Learning Engineer jobs in California and 6,127 across the US. 8% of them nationwide are listed as remote or flexible.
- Experience
- Machine Learning Engineer postings that state a minimum ask for 5 years of experience at the median; the middle half ask for 3 to 7 years (4,896 postings).
- Education
- 2,195 of the 6,127 open Machine Learning Engineer jobs (36%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 6, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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