Automated Driving Advanced Development Intern, Machine Learning Research

Tri-global Solutions Group Inc.

. Define a focused research question and experimental plan with a mentor .

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

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in research methodologies for autonomous driving, including multimodal agents and generative AI, while effectively communicating findings through technical writing and presentations. Proficient in Python and machine learning frameworks, with a strong foundation in computer vision and reinforcement learning.

Highest-signal resume keywords

Ph.D. Or Master's Degree In Computer ScienceProficiency In PythonResearch Experience In Computer VisionPublications In NeurIPS Or ICMLExperience With CARLA

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningGenerative ModelingReinforcement LearningSimulationVersion ControlSoftware Engineering FundamentalsNatural Language ProcessingExperimental DesignData AnalysisClosed-Loop Learning

Soft Skills

Independent ResearchClear CommunicationCollaboration

Tools & Technologies

PyTorchCARLASimulation InfrastructureOpen-Source DatasetsToyota Driving Data

Industry Keywords

Autonomous DrivingRoboticsGenerative AIMultimodal ReasoningWorld ModelsNeural RenderingVideo GenerationAgent SystemsClosed-Loop EvaluationResearch Publications

Tech Stack

Tools & technologies

PythonPyTorch

About the role

Key responsibilities & impact

Define a focused research question and experimental plan with a mentor
Develop methods involving multimodal agents, generative policies, world models, simulation, or learning from interaction
Build research prototypes using open-source datasets, large-scale Toyota driving data, and closed-loop simulation infrastructure
Design experiments and evaluate generalization, robustness, efficiency, or closed-loop behavior
Collaborate with TRI researchers and engineers to analyze results, investigate failure modes, and refine the research approach
Communicate findings through reproducible experiments, research presentations, and technical writing, including publication contributions where appropriate
Investigate foundation models and generative AI for autonomous driving
Own an independent research project in sim-to-sim and sim-to-real domain mapping
Shape the approach, run experiments, analyze results, and pursue publication-quality findings
Contribute tools and insights to improve autonomy models potentially deployed in Toyota vehicles
Work with experienced researchers using large-scale Toyota driving data, base models, and simulation infrastructure

Requirements

What you’ll need

Currently pursuing a Ph.D. or master’s degree in Computer Science, Robotics, Machine Learning, Artificial Intelligence, Electrical 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 computer vision, natural language processing, or generative modeling/reinforcement learning
Demonstrated research ability through publications, preprints, or substantial independent research projects
Ability to work independently on an open-ended research problem and 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
Bonus: Experience with CARLA, neural rendering, language or vision-language models, agent systems, multimodal reasoning, diffusion or flow models, video generation, world models, real-world sensor data, autonomous driving, robotics, simulation, or closed-loop learning and evaluation
Bonus: Publications at venues such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, CoRL, ICRA, or RSS

Benefits

Comp & perks

Medical, dental, and vision insurance
Paid time off, including holiday pay and sick time