Robotics Intern - Large Behavior Models, Generalizable 3D Representations (G3R) at Toyota Research Institute

Los Altos, California, United States

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

Robotics, AutomotiveIndustries

Requirements

Currently pursuing a Ph.D. in Machine Learning, Computer Vision, Graphics, Robotics, or related fields
Publication record or strong interest in publishing at high-impact venues (e.g., CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, CoRL, RSS, ICRA, IROS, SIGGRAPH, RA-L)
Passion for large-scale challenges in 3D/4D perception, multimodal foundation models, and physical-world-grounded AI
Proficiency with one or more coding languages and systems, preferably Python, Unix, and a Deep Learning framework (e.g., PyTorch)
Ability to collaborate with researchers and engineers to invent and implement novel research ideas
A reliable teammate who loves to think big, dive deep, and deliver with integrity

Responsibilities

Conduct daring research in 3D perception, reconstruction, and representation learning, solving open problems of high theoretical and practical value
Push the boundaries of knowledge in 3D Foundation Models for robotic applications
Collaborate with research scientists and engineers across the G3R team, the Robotics division, TRI, Toyota, and our university partners
Stay up to date with state-of-the-art machine learning, 3D vision, and robotics research
Present your work at internal meetings, top-tier conferences, and through contributions to the broader research community

Skills

Key technologies and capabilities for this role

Computer VisionGraphicsRobotics3D PerceptionRepresentation Learning3D ReconstructionGenerative ModelingMulti-Modal Policy LearningEmbodied World ModelingSimulation

Questions & Answers

Common questions about this position

Is this internship paid?

Yes, this is a paid 12-week internship opportunity for summer 2026.

What is the work arrangement for this internship?

This internship is a hybrid in-office role.

What skills and qualifications are required for this role?

Candidates must be currently pursuing a Ph.D. in Machine Learning, Computer Vision, Graphics, Robotics, or related fields, have a publication record or strong interest in high-impact venues, passion for 3D/4D perception and multimodal models, and proficiency with Python, Unix, and a deep learning framework like PyTorch.

What is the team and mission at TRI's G3R team?

The Generalizable 3D Representations (G3R) team in the Robotics division advances 3D perception and representation learning methods for robots, spanning 3D Foundation Models, Generative Modeling, Scene Reconstruction, Multi-Modal Policy Learning, and Embodied World Modeling, with a mission to develop generalizable data-driven 3D representations bridging computer vision, graphics, and robotics.

What makes a strong candidate for this internship?

Strong candidates are pursuing a Ph.D. in relevant fields, have a publication record at top venues like CVPR or NeurIPS, show passion for 3D perception and robotics challenges, and are proficient in Python, Unix, and PyTorch.

Toyota Research Institute

Research in mobility, safety, and automation

About Toyota Research Institute

Toyota Research Institute focuses on improving mobility through research and development in the automotive and technology sectors. The company works on enhancing safety, automated driving, robotics, materials science, and machine learning. Their products include advanced safety features and automated driving systems that aim to make driving safer and more efficient. Unlike many competitors, TRI emphasizes a research-driven approach, collaborating with various partners and licensing their innovations to enhance Toyota's offerings and maintain a competitive edge. The goal of TRI is to advance mobility solutions that improve quality of life and support the transition to zero-emissions transportation.

Los Altos, CaliforniaHeadquarters

2016Year Founded

$100MTotal Funding

SEEDCompany Stage

Robotics & Automation, Automotive & Transportation, AI & Machine LearningIndustries

201-500Employees

Benefits

Highly competitive benefits package

Robust programs to support the wellbeing, happiness, and health of our people and their families.

401(k) plan including matching and annual profit sharing along with total vacation and holidays totaling 38 days per year.

Subsidized commuter benefits and generous employee and vehicle allowances

2 paid days per year to participate in volunteer activities.

Maternity Leave program with 10 paid weeks plus baby bonding leave and Milk Stork for traveling moms

Baby Bonding Leave–an additional 16 paid weeks–to all new parents, including those who choose to adopt.

Back-up child and adult / elder care programs to help everyone thrive

WellBeats Virtual Fitness Trainer.

Risks

Public skepticism may undermine AI-assisted driving safety initiatives.

Boston Dynamics' high costs could impact TRI's humanoid robot project returns.

Complexity of real-world environments may delay TRI's robot skill deployment.

Differentiation

TRI focuses on AI to enhance human life and mobility.

Partnerships with Boston Dynamics and Stanford showcase TRI's collaborative innovation.

TRI's Driving Sensei concept integrates AI to improve driver skills and engagement.

Upsides

Generative AI allows TRI's robots to learn complex tasks without new coding.

TRI's AI-driven material synthesis could revolutionize EV battery development.

Autonomous tandem drifting collaboration with Stanford pushes vehicle dynamics boundaries.

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