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Open nowPosted 10 hours ago

Machine Learning Engineer Intern, AI & Robotics

RoboForce16 open roles

Pay
$5,000 – $6,500 a month
Where
Milpitas, CA
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Your applicationOpen nowMachine Learning Engineer Intern, AI & RoboticsRoboForce · Milpitas, CA

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  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The clock on this job

Early applications get read.

13.3% of postings close within 7 days. Measured by our own scanner across the market. RoboForce postings stay open a median of 27 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.6%3 days
  3. 13.3%7 days
  4. 21.3%14 days
  5. 35.7%30 days
  6. 59.1%60 days
This job: posted 10 hours ago

RoboForce median: 27 days open

The posting

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
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