Science Intern, Representation Learning for Molecules and Materials

Tri-global Solutions Group Inc.

. Develop algorithms and computational systems for multi-agent learning and coordination .

Posted 11/5/2026internshipLos Altos • California • United StatesEntry Level💰 $45 - $65 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing algorithms for multi-agent learning and coordination, with strong foundations in machine learning, probability, and optimization. Proficient in Python and modern ML tooling, capable of translating research into practical applications.

Highest-signal resume keywords

Machine LearningMulti-Agent SystemsPython ProgrammingAlgorithm ImplementationExperimental Workflows

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Algorithm DevelopmentComputational SystemsModel EvaluationOptimization TechniquesData Analysis

Soft Skills

Collaborative WorkCommunication Skills

Tools & Technologies

PyTorchExperiment TrackingReproducibility Best Practices

Industry Keywords

Distributed LearningFederated LearningInformation TheoryControlled Benchmarks

Tech Stack

Tools & technologies

PythonPyTorch

About the role

Key responsibilities & impact

Develop algorithms and computational systems for multi-agent learning and coordination
Implement and evaluate algorithms for learning and coordination among agents with different data and computational capabilities
Prototype methods for sharing information, updating predictive models, and selecting computational tasks
Design controlled benchmarks comparing coordination strategies with independent-agent and centralized approaches
Evaluate model accuracy, communication costs, and computational efficiency using reproducible experimental workflows
Contribute high-quality, well-documented code to an internal codebase
Help translate results into internal reports, publications, and/or patent disclosures as appropriate
Collaborate with universities, national labs, and colleagues across global Toyota

Requirements

What you’ll need

Currently enrolled in a doctoral program in computer science, machine learning, statistics, applied math, electrical engineering, or a related discipline
Strong foundations in machine learning, probability, and optimization, with demonstrated experience implementing and evaluating algorithms
Familiarity with multi-agent systems, distributed or federated learning, or information theory
Proficiency in Python and modern ML tooling, such as PyTorch, experiment tracking, and reproducibility best practices
Ability to work collaboratively across disciplines and translate research ideas into working code

Benefits

Comp & perks

Paid 12-week internship
Medical insurance
Dental insurance
Vision insurance
Paid time off
Holiday pay
Sick time