Summary
Headquartered in sunny Los Angeles, GrayMatter Robotics is a well-capitalized AI robotics startup serving the manufacturing industry. We empower shop floor workers with our smart robots that assist with tedious and ergonomically challenging tasks, specifically in automated surface finishing. Our proprietary GMR-AI™ software is integrated with state-of-the-art industrial robots, sensors, and tools to create application-specific turnkey solutions for customers through a Robot-as-a-Service (RaaS) model.
Position OverviewAs an AI Intern, Special Projects, you will own a research or engineering problem end-to-end across our AI and robotics stack. Projects are tailored to both your background and our roadmap, with the expectation that your work will either ship into production or directly influence product direction by the end of the internship.
You will collaborate closely with senior researchers and engineers, present your work internally and occasionally to external partners, and gain hands-on access to real robot hardware, manufacturing cells, and production-scale datasets.
What You’ll Work OnFoundation Models for Manufacturing
Multimodal models for industrial perception, scene understanding, and task planning
Policy Learning
Learning-based control for contact-rich manipulation under geometric, material, and contact uncertainty
Sim-to-Real Transfer
Physics-based simulation, domain randomization, and bridging the gap between simulation and hardware
3D Perception & Scene Understanding
Real-time point cloud processing, surface reconstruction, defect detection, and anomaly detection in manufacturing environments
World Models & Learned Dynamics
Tool–surface interaction models for planning, rollout prediction, and uncertainty-aware skill selection
We are looking for researchers and engineers who combine strong technical depth with a builder mindset. Ideal candidates will have most of the following:
Currently pursuing or recently completed a Master’s or PhD in AI, Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field
Exceptional undergraduate candidates will also be considered
Hands-on experience training, fine-tuning, or adapting modern machine learning models, including:
Foundation models
Multimodal models
Diffusion policies
Large-scale self-supervised learning systems
Working knowledge of robotic systems, including:
Kinematics
Control systems
Sensors and perception
Hardware debugging and deployment intuition
Experience with physics-based robotics simulators and a practical understanding of sim-to-real limitations
Strong software engineering fundamentals with proficiency in:
Python
PyTorch
Production-quality code development
Demonstrated ownership of projects end-to-end through:
Publications
Deployed systems
Open-source contributions
AVAILABLE TO START IMMEDIATELY for Summer '26 Internship
First-author publications at leading conferences such as:
CoRL
RSS
ICRA
IROS
NeurIPS
ICML
ICLR
CVPR
Experience deploying learned policies or perception systems on real-world robotic hardware, especially in industrial environments
Background in:
Distributed training systems
Custom CUDA kernels
Large-scale pretraining
Prior work involving:
Contact-rich manipulation
Force/torque control
Surface inspection
Industrial automation
Meaningful open-source contributions to robotics, simulation, or ML infrastructure frameworks
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 [email protected] 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.
Skills Required
- Currently pursuing or recently completed a Master's or PhD in AI, Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field
- Hands-on experience training modern machine learning models
- Working knowledge of robotic systems including kinematics and control systems
- Experience with physics-based robotics simulators
- Strong software engineering fundamentals with proficiency in Python and PyTorch
- Demonstrated ownership of projects end-to-end
GrayMatter Robotics Compensation & Benefits Highlights
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Retirement Support — A 401(k) with a stated company match is included, supporting long‑term savings. Benefit descriptions consistently cite the employer match as part of core offerings.
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Fair & Transparent Compensation — A documented equal pay policy and stated pay transparency indicate intent to make compensation practices clear. These elements suggest structure around fairness in pay decisions.
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Wellbeing & Lifestyle Benefits — A wellness stipend and home‑office support are offered alongside culture perks such as off‑sites, snacks, and a pet‑friendly office. These additions extend the package beyond core insurance and retirement.
GrayMatter Robotics Insights
What We Do
Headquartered in sunny Los Angeles, GrayMatter Robotics is an AI robotics company that builds the factories of the future today, empowering people, creating safer workplaces, and shaping a more prosperous society. We build next-generation factories that transcend human constraints, driving exponential productivity and sustainable economic growth. Our technology brings together robotics, Physical AI, and human ingenuity to create intelligent systems that unlock solutions once thought unimaginable and shape the next frontier of innovation. Our customers see us as true partners, dedicated to their outcomes and making the journey to their Factory of the Future simple and fast by handling all the technology complexity so they can focus on what matters most while adapting to future demand.
Why Work With Us
We are developing brains for robots to transform them into smart assistants for helping humans in tedious and ergonomically challenging tasks. We’re hardwired with integrity and tenacity to innovate. We care deeply and foster an energetic and collaborative team dedicated to developing robotic solutions to tackle complex and challenging problems.
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GrayMatter Robotics Offices
OnSite Workspace
Our team works fully onsite at our headquarters in sunny Los Angeles, CA. We partner directly with each teammate to maintain flexibility and support the occasional work from home day.





