Tech Stack

Description

In this role, you'll collaborate with researchers and engineers to tackle plan generation challenges in autonomous driving using state-of-the-art generative modeling techniques like diffusion and flow matching. You'll own the end-to-end lifecycle of models, productizing them for real-world deployments on a global scale.

Requirements

• Ph.D. (preferred) or M.Sc. with 3+ years experience with generative models
• Research experience in generative models for robotics, manipulation, path planning, or autonomous driving
• Strong programming skills in Python and/or C++
• Research publications in top conferences (NeurIPS, ICLR, ICML, CVPR, RSS, CoRL etc.)
• Good team player and culture fit

Responsibilities

• Develop and scale state-of-the-art generative models for autonomous plan generation
• Build generative models with foundation models and large language models
• Optimize generative models using reinforcement learning for interactive reasoning
• Explore joint prediction and planning, and self-play
• Develop controllable generative models for desired goals and constraints