AI Research Intern (BS/MS)

About the Role

We are seeking an AI Research Intern to join our founding team and bridge the gap between high-level AI research and real-world physical actuation for our next-generation autonomous transport platforms. In this role, you will contribute to core research initiatives on Perception, World Models, and Action models. You will help translate cutting-edge theoretical breakthroughs into scalable, real-world deployment on physical autonomous systems, driving how our platforms perceive, simulate, and navigate complex environments.

Key Responsibilities

• Integrate and adapt emerging AI research into internal model pipelines, validating performance on real-world datasets and simulation.
• Prototype and evaluate RL, trajectory planning, and distillation algorithms based on state-of-the-art literature.
• Train and fine-tune multimodal models that map real-time sensor inputs and behavioral goals to vehicle actuation.
• Experiment with world model architectures using multi-sensor log data to improve simulation fidelity and trajectory querying.
• Analyze edge cases and failure modes in novel driving environments to iterate on model performance and stability.
• Run rigorous simulation experiments alongside research and validation teams to identify performance bottlenecks and track model improvements.

Requirements & Tech Stack

• Education: Currently enrolled in a Bachelor's or Master's degree program in Computer Science, EECS, Robotics, AI, or a closely related field.
• Core Expertise: Coursework, project experience, or research background focused on at least one of the following domains:
• Generative World Models / Video Generation / Diffusion Models
• Vision-Language-Action (VLA) models or embodied AI
• Reinforcement Learning (RL), trajectory optimization, or decision-making systems
• Large-scale multimodal Transformer architectures applied to robotics or spatio-temporal data
• Framework Fluency: Advanced hands-on proficiency with PyTorch or JAX for training and fine-tuning large-scale neural networks.
• Programming: Proficiency in Python and working knowledge of C++.

Preferred Qualifications

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

Location

• This role is based in our Mountain View or San Francisco office.
• All office-based teams work onsite, five days a week.

Compensation

• The hourly pay range for this internship role is $70/hr per hour.
• Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications.