Machine Learning Engineer Intern, AI & Robotics

RoboForce • Milpitas, CA

1d • Onsite

About The Position

RoboForce is an AI robotics company developing Physical AI–powered Robo-Labor for dull, dirty, and dangerous work. Its robots are engineered for demanding industrial environments, with a focus on real-world deployment and scalability.

The Machine Learning Engineer Intern will help develop advanced AI capabilities for robotics and build the foundational AI ecosystem across data collection, labeling, training, evaluation, and deployment. The intern will collaborate with AI engineers and work on real-world challenges at the intersection of artificial intelligence and robotics. The internship starts in November 2026 and lasts 3–6 months. It is full-time, with five days per week of in-office collaboration.

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 such as transformers and diffusion models, and reinforcement learning.
• Proficiency in deep learning frameworks such as PyTorch, JAX, or TensorFlow.
• Able to collaborate in the office with teams five days per week.

Nice To Haves

• Exposure to robot learning using tactile and/or vision-based sensors.
• Expertise in object pose estimation, bimanual manipulation, and synthetic data.

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 modalities and methods such as tactile and force-torque sensing, reinforcement learning, and simulation to advance model capabilities.
• Build robot-learning data pipelines, 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.
• Collaborate with robotics, hardware, and product teams to bring models from research to production.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern