AI Research Intern (PhD)

What you'll do

• Integrate and prototype promising AI research; build multimodal models connecting visual perception and behavioral goals to vehicle actuation.
• Research reinforcement learning and distillation for trajectory planning, and develop interactive world models from multi-sensor logs.
• Evaluate autonomous-driving models in simulated scenarios, finding regressions and performance bottlenecks and supporting adaptation 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: generative world models, video generation or diffusion; VLA or embodied AI; RL, trajectory optimization or decision-making; or large-scale multimodal Transformers for robotics or spatio-temporal data.
• Advanced hands-on proficiency with PyTorch or JAX; proficiency in Python and working knowledge of C++.

Nice to have

• Research or internship experience in autonomous driving, mobile robotics, or spatial AI; sensor fusion across multi-camera setups, LiDAR, and Radar.
• Familiarity with BEV representations, 3D occupancy forecasting, multi-task learning, spatial data tokenization, or distributed GPU/TPU training.

Pay

$70/hr per hour (hourly pay)

Tools

PyTorch, JAX, Python, C++, LiDAR, Radar, DeepSpeed, Megatron-LM

AI focus

Research and develop perception, world, and action models for autonomous transport, including multimodal modeling, reinforcement learning, trajectory planning, simulation, and adapting systems to new environments.