AI Research Intern: Foundation Models

5 дн. назад

USATraineeOnsite

machine learningdeep learningpython

Internship role focused on research and development of AI foundation models for robotics applications in manufacturing.

Будет плюсом

Experience with VLA/VLM training
Experience with industrial manipulators and demonstration of research deployed in industrial environments
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!
is committed to providing reasonable accommodations for candidates with disabilities. If you believe you require accommodations during the recruiting process, please contact accommodations@.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.

Другое

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 wh
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.
Work with the Special Projects AI team to work on next generation of foundation models that power 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
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