Automated Driving Advanced Development Intern (Machine Learning Research)

Location: Hybrid, in-office at TRI headquarters in Los Altos, California, for the full 12-week internship.

Pay: $45–$65/hour for California-based roles.

Company

hirify.global develops AI, robotics, autonomous driving, and material-science technologies to improve human life and advance mobility.

What you will do

• 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, Toyota driving data, and closed-loop simulation infrastructure.
• Design experiments and evaluate generalization, robustness, efficiency, and closed-loop behavior.
• Analyze results and failure modes with TRI researchers and engineers, refining the research approach.
• Communicate findings through reproducible experiments, presentations, technical writing, and publication contributions.

Requirements

• 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 machine-learning frameworks such as PyTorch, with understanding of version control, testing, and software-engineering fundamentals.
• Research experience in computer vision, natural language processing, generative modeling, or reinforcement learning.
• Demonstrated research ability through publications, preprints, or substantial independent research projects.
• Ability to work independently on open-ended research problems and communicate methods and results clearly.
• Ability to work in a hybrid in-office arrangement at TRI’s headquarters in Los Altos, California, for the full 12-week internship.

Nice to have

• Experience with driving or robotics simulators such as CARLA or with neural rendering.
• Experience with language or vision-language models, agent systems, or multimodal reasoning.
• Experience with diffusion or flow models, generative policies, video generation, or world models.
• Experience with real-world sensor data such as video, lidar, IMU, or radar.
• Experience with autonomous driving, robotics, simulation, or closed-loop learning and evaluation.
• Publications at venues such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, CoRL, ICRA, or RSS.

Culture & Benefits

• Paid 12-week internship with an independent research project and collaboration with experienced researchers.
• Access to large-scale Toyota driving data, base models, and simulation infrastructure.
• Medical, dental, and vision insurance.
• Paid time off, including holiday pay and sick time.
• Inclusive and collaborative environment with equal employment opportunity.