Nuro

Research Scientist role focused on building ML-based prediction systems for autonomous driving, involving generative sequence modeling, agent creation for simulation, and deployment on real vehicles. Requires expertise in sequential decision-making, prediction, generative modeling, and deep learning frameworks, with a preference for PhDs and publication records.

Machine Learning Research Scientist focused on behavior planning and prediction for autonomous driving, using advanced ML techniques like self-supervised learning, OOD detection, RL, and generative modeling to solve real-world challenges and deploy solutions on vehicles.

Machine Learning Research Scientist focused on developing and scaling state-of-the-art generative models, particularly diffusion architectures, flow-matching, and energy-based models, for autonomous plan generation in robotics. The role involves leveraging foundation models (LLMs, world models), optimizing models with reinforcement learning and reward modeling, and developing controllable generative models. Collaboration across autonomy teams and deployment of models on NuroDriver are key aspects.