Automated Driving Advanced Development Intern, Machine Learning Research

Tri-global Solutions Group Inc.

. Conduct research on sim-to-sim and sim-to-real domain mapping for driving policies .

Posted 11/10/2026internshipLos Altos • California • United StatesEntry Level💰 $45 - $65 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in sim-to-sim and sim-to-real domain mapping, with strong capabilities in Python programming and machine learning frameworks like PyTorch. Proven ability to conduct independent research, collaborate effectively, and communicate findings clearly.

Highest-signal resume keywords

Python ProficiencyMachine Learning FrameworksSim-To-Real Transfer ResearchIndependent Research Project LeadershipRobotics and Autonomous Driving Collaboration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Sim-To-Sim Domain MappingSim-To-Real Domain MappingGenerative ModelsReinforcement LearningImitation LearningDomain AdaptationClosed-Loop SimulationMetrics DevelopmentExperiment DesignSoftware Engineering Fundamentals

Soft Skills

Clear CommunicationCollaborationFeedback IncorporationIndependent Work

Tools & Technologies

Toyota Driving DataClosed-Loop Simulation InfrastructureVersion ControlTesting Frameworks

Industry Keywords

Autonomous DrivingRoboticsMachine LearningArtificial IntelligenceComputer ScienceEngineering

Tech Stack

Tools & technologies

PythonPyTorch

About the role

Key responsibilities & impact

Conduct research on sim-to-sim and sim-to-real domain mapping for driving policies
Design and run experiments using large-scale Toyota driving data, generative base models, and closed-loop simulation infrastructure
Perform closed-loop evaluations across simulators of varying fidelity
Develop metrics measuring transfer of post-trained behaviors across domains
Collaborate with researchers and engineers to integrate tools and findings into model development and post-training workflows
Present progress and results regularly and incorporate feedback
Write findings as a paper for conference or workshop submission
Lead an independent research project in sim-to-sim and sim-to-real transfer for sensor-based driving models
Work with Toyota driving data, base models, and simulation infrastructure
Collaborate with researchers on robotics and autonomous driving
Support improvements to Toyota autonomy models

Requirements

What you’ll need

Currently pursuing a Ph.D. or master’s degree in Computer Science, Robotics, Machine Learning, Artificial Intelligence, Engineering, or a related field
Proficiency in Python and ML frameworks such as PyTorch
Understanding of version control, testing, and software engineering fundamentals
Research experience in sim-to-real transfer, domain adaptation, reinforcement learning, imitation learning, generative models, or autonomous driving
Demonstrated research ability, such as publications, preprints, or substantial independent research projects
Ability to work independently on an open-ended research problem
Ability to communicate methods and results clearly
Able to work in a hybrid in-office arrangement at TRI’s headquarters in Los Altos, California, for the full 12-week internship

Benefits

Comp & perks

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