AI Research Intern (PhD)

What you'll do

• Integrate and prototype promising AI research; build models that connect visual perception and behavioral goals to vehicle actuation.
• Research reinforcement learning and distillation techniques for trajectory planning, and develop interactive world models from sensor logs.
• Evaluate autonomous-driving models in simulated scenarios, identify regressions and bottlenecks, and improve adaptability to new environments.

What they ask for

• Currently enrolled in a PhD program in Computer Science, EECS, Robotics, AI, or a closely related field.
• Publications or active submissions to top-tier AI or robotics venues.
• PhD-level research background in at least one listed area: world or generative models, VLA or embodied AI, reinforcement learning or decision-making, or multimodal Transformers for robotics or spatio-temporal data.
• Advanced proficiency with PyTorch or JAX, plus Python proficiency and working knowledge of C++.

Nice to have

• Prior research or internship experience in autonomous driving, mobile robotics, or spatial AI.
• Experience with multi-sensor fusion, BEV or 3D occupancy forecasting, spatial-data methods, or distributed GPU/TPU training.

Pay

$70/hr per hour (hourly pay)

Tools

PyTorch, JAX, Python, C++, DeepSpeed, Megatron-LM, Ray, PyTorch FSDP

AI focus

Research and deployment of perception, world models, action models, multimodal AI, reinforcement learning, and trajectory planning for autonomous vehicles.