Machine Learning Engineer Intern AI & Robotics
RoboForce is a Milpitas, California robotics company building Physical AI-powered industrial robotic labor systems.
Funding history
About RoboForce
RoboForce develops the TITAN general-purpose AI robot and related robot foundation-model stack for demanding industrial work, including solar, data centers, shipping, mining, and manufacturing.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will develop advanced AI capabilities for robotics by training and improving robot foundation models, including vision-language-action and world-action models. You will explore tactile and force-torque sensing, reinforcement learning, and simulation; build robot-learning data pipelines; run evaluations in simulation and on real robots; and deploy optimized models for real-time onboard inference. You will collaborate with robotics, hardware, and product teams to take models from research to production.
Requirements
- Currently pursue an advanced degree in Computer Science, Robotics, Machine Learning, or a related field, with graduation in 2026 or 2027
- Demonstrate proficiency in multimodal models, modern machine learning architectures, and reinforcement learning
- Demonstrate proficiency with PyTorch, JAX, or TensorFlow
- Work in the office five days per week
Responsibilities
- Train and improve robot foundation models, including vision-language-action models and world-action models, for contact-rich industrial manipulation
- Explore tactile and force-torque sensing, reinforcement learning, and simulation methods
- Build data pipelines for robot learning, including data collection, curation, labeling, and dataset quality assurance
- Design and run model evaluations in simulation and on real robots
- Deploy models on robots and optimize them for real-time onboard inference
- Collaborate with robotics, hardware, and product teams to bring models from research to production