Human Interactive Driving Research Intern, World Models

Tri-global Solutions Group Inc.

. Conduct original research in world modeling, multi-agent interaction, reinforcement learning, perception, or sim-to-real transfer .

Posted 11/4/2026internshipLos Altos • California • United StatesEntry Level💰 $45 - $65 per hourWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in machine learning and reinforcement learning, with a strong focus on world modeling and simulation for autonomous systems. Proficient in developing and evaluating learning-based driving systems using modern deep learning frameworks.

Highest-signal resume keywords

Ph.D. In Computer ScienceMachine Learning ExpertiseDeep Learning FrameworksWorld Modeling ExperienceResearch Publication Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Reinforcement LearningGenerative ModelsProbabilistic Modeling3D ReconstructionSensor FusionModel-Based Reinforcement LearningClosed-Loop SimulationPrototype DevelopmentData IntegrationEvaluation of Learning Systems

Soft Skills

CollaborationPresentation Skills

Tools & Technologies

PyTorchJAXTensorFlowHigh-Performance Autonomous Driving Hardware

Industry Keywords

Autonomous SystemsAI/ML ConferencesOpen-Source ContributionsResearch Publications

Tech Stack

Tools & technologies

PyTorchTensorflow

About the role

Key responsibilities & impact

Conduct original research in world modeling, multi-agent interaction, reinforcement learning, perception, or sim-to-real transfer
Collaborate with full-time researchers on the design, training, and evaluation of learning-based driving systems
Develop and evaluate prototypes in closed-loop simulation environments and, time permitting, on high-performance autonomous driving hardware
Present research findings through internal talks and work toward a top-tier academic publication
Integrate and work with large-scale open-source and internal datasets
Advance world-modeling research across representation learning, action conditioning, and evaluation
Prototype and evaluate ideas in closed-loop simulations
Contribute to research publications alongside TRI scientists

Requirements

What you’ll need

Currently pursuing a Ph.D. in Computer Science, Robotics, Machine Learning, Electrical Engineering, or related fields
Strong background in machine learning, particularly deep learning, generative models, reinforcement learning, or probabilistic modeling
Hands-on experience training and evaluating world models, model-based reinforcement learning, 3D reconstruction or sensor fusion, and large-scale simulation for robotics or autonomous systems
Proficient coding skills with expertise in modern deep learning frameworks such as PyTorch, JAX, or TensorFlow
Prior publication(s) in top-tier AI/ML conferences
Relevant open-source contributions or technical project write-ups requested with application

Benefits

Comp & perks

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