AI Research Intern (BS/MS)

What you'll do

• Adapt emerging AI research into model pipelines and validate it using real-world datasets and simulation.
• Prototype and evaluate reinforcement learning, trajectory planning, and distillation algorithms; train and fine-tune multimodal models for vehicle actuation.
• Experiment with world models and analyze driving edge cases, failure modes, and simulation performance.

What they ask for

• Currently enrolled in a Bachelor's or Master's program in Computer Science, EECS, Robotics, AI, or a closely related field.
• Coursework, project experience, or research background in at least one listed area: generative world models, video generation, diffusion models, VLA or embodied AI, RL or trajectory optimization, or large-scale multimodal Transformers for robotics or spatio-temporal data.
• Advanced hands-on proficiency with PyTorch or JAX for training and fine-tuning large-scale neural networks.
• Proficiency in Python and working knowledge of C++.

Nice to have

• Prior research, project, or internship experience in autonomous driving, mobile robotics, or spatial AI.

Pay

$70/hr per hour (hourly pay)

Tools

PyTorch, JAX, Python, C++

AI focus

Research and develop perception, world models, reinforcement learning, trajectory planning, and multimodal models for autonomous systems, including mapping sensor inputs and behavioral goals to vehicle actuation.