AI Research Intern: Foundation Models

GrayMatter RoboticsGrayMatter RoboticsCarson, California, United States
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Posted

8/26/2026

Employment

Full time

Range

$40 - $50/hr

Work style

On-site

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AI summary

Core responsibilities

The intern will develop and operationalize foundation models for high-precision manufacturing applications within the Special Projects AI team. Responsibilities include the full project lifecycle from data curation and model training to deployment and performance monitoring on real industrial robots.

Requirements overview

Candidates must be currently pursuing a PhD in a relevant engineering or science field with research experience in foundation models for robotics. Proficiency in Python, deep learning frameworks, and experience with robotics simulation and middleware are required.

Key skills

Foundation ModelsRoboticsPythonPyTorchDeep LearningWorld ModelsSimulationPhysics-based modelingIsaac LabMuJoCoReinforcement learningImitation learningPolicy optimizationROSROS2Robotic manipulation

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Education requirements

postgraduate degree

About GrayMatter Robotics

Industry

Robotics Engineering

Employees

123

Type

Privately Held

Size

51-200 employees

We’re solving the most difficult surface treatment and finishing challenges high-mix, high-variability manufacturers face with our advanced robotics and physics-informed AI technologies. We are transforming the future of manufacturing with robotics and our proprietary GMR-AI™, designed into smart robotic cells that assist humans in tedious and ergonomically challenging tasks. Our mission is to enhance human productivity and improve the quality of life by letting robots empower people. Based in Los Angeles, California, GrayMatter Robotics has been voted one of the top 50 Best Places to Work in LA by BuiltIn. We also won the RBR50 Award in 2022 as one of the top 50 innovators in the robotics market.

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Job categories

TechnologyScience & ResearchEngineeringManufacturingData & Analytics

Description

Summary GrayMatter Robotics is a well-capitalized Physical AI company headquartered in Los Angeles, building Factory SuperIntelligence (FSI) through systems that learn, adapt, and develop genuine process intelligence across every part they touch. Our robots take on the tedious, hazardous, and ergonomically demanding work that has kept manufacturing dependent on a shrinking skilled workforce, delivering superhuman performance. Robotics has a demo problem. GMR doesn't. Our systems are in active production today, adapting autonomously to real geometries, real materials, and real process variation without reprogramming. We deliver our system through a Robots-as-a-Service (RaaS) model that converts capital expenditure into an operating subscription, making Physical AI accessible to the manufacturers who need it most. We hire people who want to solve hard physical problems at an industrial scale. 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. What to Expect 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 What You’ll Bring 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 Have’s Experience with VLA/VLM training Experience with industrial manipulators and demonstration of research deployed in industrial environments GrayMatter Robotics provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. We celebrate diversity and are committed to creating an inclusive environment for all employees. We encourage and embrace applicants of all backgrounds to apply! GrayMatter Robotics is committed to providing reasonable accommodations for candidates with disabilities. If you believe you require accommodations during the recruiting process, please contact accommodations@graymatter-robotics.com to submit your request. Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice. Depending on the position and if listed, compensation may include the base salary range, bonus or commission, and equity. We also provide comprehensive benefits and perks which include but are not limited to medical, dental, vision, unlimited PTO, 401(k) plan + employer match, regular offsite events, a discretionary fund for enhancing productivity and so much more! The range listed on job postings reflect the minimum and maximum new hire salary across levels in Los Angeles, CA.

Requirements

  • •Foundation Models
  • •Robotics
  • •Python
  • •PyTorch
  • •Deep Learning
  • •World Models
  • •Simulation
  • •Physics-based modeling
  • •Isaac Lab
  • •MuJoCo
  • •Reinforcement learning
  • •Imitation learning
  • •Policy optimization
  • •ROS
  • •ROS2
  • •Robotic manipulation

Benefits

  • •Medical
  • •Dental
  • •Vision
  • •Unlimited PTO
  • •401(k) plan
  • •Employer match
  • •Regular offsite events
  • •Discretionary fund

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