Machine Learning Engineer Intern, AI & Robotics

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RoboForce

11-50 employeesFounded 2023Milpitas, CaliforniaRobotics Engineering
Actively hiringPaidRobotics Engineering
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Best applied by Nov 18

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About the role#

RoboForce is hiring a Machine Learning Engineer Intern to join the AI team. You will work on developing AI capabilities for robots designed for industrial environments. This position is based in Milpitas, California, and requires 5 days per week of on-site collaboration. The internship lasts 3 to 6 months, starting in November 2026.

What you'll do#

  • Train and improve robot foundation models, specifically vision-language-action (VLA) and world-action models.
  • Investigate new methods such as tactile and force-torque sensing, reinforcement learning, and simulation.
  • Create data pipelines for robot learning, covering collection, curation, labeling, and quality assurance.
  • Design and run model evaluations in both simulation and on real hardware.
  • Deploy models onto robots and optimize them for real-time onboard inference.
  • Collaborate with robotics, hardware, and product teams to move models from research into production.

What you'll need#

  • 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 and modern machine learning architectures like transformers and diffusion models.
  • Experience with reinforcement learning.
  • Proficiency in deep learning frameworks such as PyTorch, JAX, or TensorFlow.
  • Preferred: Exposure to robot learning using tactile or vision-based sensors.
  • Preferred: Expertise in object pose estimation, bimanual manipulation, or synthetic data.

Location & details#

  • Location: Milpitas, California (On-site).
  • Compensation: $5,000 - $6,500 monthly salary.
  • Duration: 3 to 6 months, full-time.
Relevant fieldsComputer Science

About RoboForce

RoboForce builds robotics for industrial settings. The company focuses on physical AI and scalable labor solutions. It operates out of Milpitas, California. Founded in 2023, the firm employs between 11 and 50 people.

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