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Accelerated Science Intern, Multi-Agent Learning and Coordination at Toyota Research Institute - ApplyBlast

Accelerated Science Intern, Multi-Agent Learning and Coordination

Toyota Research Institute

5 days ago

4.3 on Glassdoor

Los Altos, California, United States

Hybrid

Internship

Intern

0 applicants

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About this role

This 12-week paid internship at Toyota Research Institute focuses on developing algorithms and computational systems for multi-agent learning and coordination. The role involves researching how agents with varying data and capabilities can share information, build predictive models, and select tasks to improve collective understanding. The intern will implement and benchmark methods like distributed and federated learning, evaluating their impact on model accuracy, communication costs, and computational efficiency.

Responsibilities

Implement and evaluate algorithms for learning and coordination among agents
Prototype methods for sharing information and updating predictive models
Design controlled benchmarks comparing coordination strategies with independent-agent approaches

Skills

About Toyota Research Institute

tri.global

Headquarters

Los Altos, California, United States

Company Size

201-500 employees

Founded

2016

View Profile

Toyota Research Institute (TRI) is Toyota’s research arm focused on advancing robotics, automated driving, human‑centered AI, energy and materials, and related technologies with the mission of "innovating to improve the human experience." TRI conducts fundamental and applied research to develop prototypes and scalable systems—ranging from automated driving stacks and human‑interactive driving to large behavior models and robotics—and publishes its technical work. The institute collaborates with academic and industry partners, shares findings via publications and a technical blog, and aims to translate research into safer, more useful products and services.