2 days ago
Milpitas, CA, USAIntern
H1B sponsor
Responsibilities
- Train and improve vision-language-action and world-action robot foundation models for precise, contact-rich industrial manipulation.
- Explore tactile and force-torque sensing, reinforcement learning, and simulation methods to advance model capabilities.
- Build robot-learning data pipelines covering data collection, curation, labeling, and dataset quality assurance.
- Design and run 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 move models from research to production.
Requirements
- Currently pursuing an advanced degree in Computer Science, Robotics, Machine Learning, or a related field, with graduation expected in 2026 or 2027.
- Proficiency in multimodal models, modern machine learning architectures such as transformers and diffusion models, and reinforcement learning.
- Proficiency with deep learning frameworks such as PyTorch, JAX, or TensorFlow.
- Exposure to robot learning using tactile or vision-based sensors is a bonus qualification.
- Expertise in object pose estimation, bimanual manipulation, and synthetic data is a bonus qualification.
Benefits
- Full-time internship lasting 3–6 months and starting in November 2026.
- Requires five days per week of in-office collaboration with the teams.
Tech Stack
PyTorchTensorFlow
Categories
ML EngineeringRobotics
About RoboForce
RoboForce builds AI-driven robotic systems designed to perform dull, dirty, and dangerous tasks in demanding industrial environments. Its products focus on deployable robo-labor that automates physical work for industrial operators, with an emphasis on real-world scalability and reliability. The privately held company was founded in 2023 and is headquartered in Milpitas, California.