AI Research Intern: Foundation Models

GrayMatter Robotics•Carson, CA

8h•$40 - $50•Onsite

About The Position

As the AI Research Intern: Foundation Models, you will join the Special Projects: AI team, a cross-functional group responsible for designing, building, and operationalizing AI capabilities across GMR’s products and customer deployments. The team operates end-to-end from problem formulation and data strategy to model development, simulation, deployment, and long-term performance monitoring collaborating closely with robotics software, solutions engineering, applications, process engineering, hardware, and deployment teams. The team’s mandate is to ensure that AI systems scale across processes, customers, and sites, and perform reliably on real robots in real factories, today, not just in controlled demonstrations.

Requirements

Currently pursuing a PhD in Robotics, AI, Computer Science, Mechanical Engineering, Electrical Engineering or related fields
Research experience in Foundation Models for robot manipulation applications
Proficiency in Python and at least one deep learning framework: PyTorch is preferred
Strong working knowledge and deep understanding of current World Models and Foundation Model Research
Demonstrated experience working with simulation environments and/or physics-based modeling for robotics (e.g. Isaac Lab or MuJoCo)
Experience with reinforcement learning, imitation learning, or policy optimization for robotic manipulation or process control
Experience with robotics middleware and tooling (e.g., ROS/ROS2) and deployment on real robotic hardware
A publication track record in venues such as ICRA, CoRL, RSS, IROS, RA-L, or T-RO, balanced with a strong bias toward real-world production impact

Nice To Haves

Experience with VLA/VLM training
Experience with industrial manipulators and demonstration of research deployed in industrial environments

Responsibilities

Work with the Special Projects AI team to work on next generation of foundation models that power GrayMatter Robotics Solutions (FSI)
Take on real, complex, ambiguous problems and work through them on accelerated timelines, largely independently
Develop foundation models for high precision manufacturing applications with multi-modal data beyond Vision or Force alone
Validate models through rigorous testing on real world industrial robots and actual production parts
Own the entire project lifecycle: data curation, simulation, model training, evaluation and robot deployment
Write maintainable, production quality code for internal R&D