Machine Learning Engineer Intern, AI & Robotics

Milpitas, CAinternshipOn Site

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Roboforce The Machine Learning Engineer Intern at Roboforce develops AI capabilities for robotics, focusing on training and improving robot foundation models and building data pipelines. The internship involves collaboration with AI, robotics, hardware, and product teams to deploy models on robots.

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.

Qualification

Proficiency in multimodal modelsBonus QualificationsExpertise in object pose estimation3–6 months

Required

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.
3–6 months, full-time