Machine Learning Research Scientist: Generative Modeling for Planning

📋 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