Job Description
📋 Description Develop and scale state-of-the-art generative models—especially diffusion architectures Build generative models with foundation models. Leverage large language models and world foundation Optimize generative models using reinforcement learning to improve interactive reasoning. Explore Develop controllable generative models to guide the generation process towards desired goals Collaborate across autonomy teams while developing holistic solutions to top autonomy challenges 🎯 Requirements You have a Ph.D. (preferable) or M.Sc. with 2-3 years of experience working with generative models Research experiences in generative models, particularly diffusion models, flow matching and You have strong problem solving and programming skills in Python and/or C++ Strong culture fit and good team player. Demonstrated research publications in top conferences (e.g. NeurIPS, ICLR, ICML, CVPR, RSS, CoRL 🎁 Benefits Annual performance bonus Equity Competitive benefits package
