Toyota Research Institute

HQ
Los Altos
Total Offices: 2
250 Total Employees
Year Founded: 2016

Toyota Research Institute Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers life insurance

Offers occupational accident insurance

Offers disability insurance

Offers supplemental life insurance

Offers accidental death & dismemberment insurance

Offers childcare benefits

Offers generous parental leave

Provides family medical leave

Provides fertility benefits

Offers dental insurance

Offers health insurance

Offers mental health benefits

Offers dependent care

Offers Flexible Spending Account (FSA)

Offers vision insurance

Offers Health Savings Account (HSA)

Offers performance bonuses

Offers employee discounts

Provides a company car

Company Culture

Provides commuter benefits

Offers travel concierge services

Provides free snacks and drinks

Offers legal assistance

Utilizes a flexible work schedule

Offers a remote work program

Offers diversity-based Employee Resource Groups

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers gym membership

Offers an Employee Assistance Program (EAP)

Offers generous PTO

Provides paid holidays

Provides bereavement leave

Offers unpaid extended leave

Offers paid volunteer time

Provides paid sick days

Provides military leave

Career Growth + Development

Provides customized development tracks

Job training & conferences

Offers apprenticeship programs

Artificial Intelligence • Computer Vision • Machine Learning • Natural Language Processing • Software • Generative AI • Renewable Energy
Conduct research in machine learning for robot manipulation, focusing on trustworthy learning, uncertainty, foundation models, failure detection, and continual learning. The intern will use sensory data and simulation, validate algorithms on real robots, collaborate with researchers and engineers, present findings, and contribute to publications and open-source projects.
Artificial Intelligence • Computer Vision • Machine Learning • Natural Language Processing • Software • Generative AI • Renewable Energy
Conduct research on post-training and continual learning methods for pretrained generalist robot policies. Develop adaptation techniques using reinforcement learning, imitation learning, policy distillation, world models, and human-in-the-loop learning. Design rigorous simulation and real-robot experiments, analyze results, communicate findings, and contribute to technical reports and publications.
Artificial Intelligence • Computer Vision • Machine Learning • Natural Language Processing • Software • Generative AI • Renewable Energy
Conduct research on robot learning and human-robot interaction, developing multimodal and hierarchical policies for collaborative robots. Build code prototypes, work with large datasets, run experiments on simulated and physical robots, conduct user studies, maintain robot-data corpora, and contribute to peer-reviewed publications.