Machine Learning Research Scientist: Generative Modeling for Planning
Core
Developing and scaling state-of-the-art generative models (diffusion, flow-matching, energy-based) for autonomous plan generation and decision-making in self-driving vehicles.
Role type
Senior IC machine learning research scientist (generative modeling for planning)
Builds
Generative models integrated into the NuroDriver platform for robotaxis and logistics fleets
Domain
Autonomous driving / Robotics / Generative AI
Deliverable
production ML models
Required skills
Generative modeling (diffusion, flow matching, energy-based models), Reinforcement learning, World foundation models, Vision-language-action models, Python, C++, Research publications in top conferences
Preferred skills
Manipulation, path planning, video generation, text-to-image generation, learned verifiers, active learning
Technologies
NuroDriver, LLMs, diffusion architectures
Responsibilities
Develop controllable generative models to guide generation towards desired goals; Optimize generative models using reinforcement learning; Collaborate across autonomy teams to develop holistic solutions; Evaluate solutions by deploying models on the NuroDriver
Seniority
Senior, hands-on IC with research background
