Research Scientist, Wayve Labs
Core
Develop core innovations in embodied AI for autonomous driving, focusing on world modeling, spatial intelligence, and scalable decision-making systems.
Role type
Research Scientist (Embodied AI / Autonomous Driving)
Builds
Next-generation AI systems for autonomous driving, including simulators, foundation models, and robotic learning frameworks.
Domain
Autonomous driving, Embodied AI, Robotics, Machine Learning
Deliverable
production ML models
Required skills
Reinforcement learning, Generative world modeling, Spatial AI (SLAM/SfM, depth estimation), Foundation models (transformers, MoE), Python programming, Large-scale dataset evaluation, Empirical research on scaling laws and sim-to-real transfer
Preferred skills
Autonomous driving systems, Large-scale training frameworks (FSDP, DeepSpeed, JAX), Open-source ML contributions
Technologies
PyTorch, Diffusion models, Autoregressive models, Transformers, MoE, SLAM, SfM
Responsibilities
Develop World Models and Planners for realistic simulation; Advance Reinforcement Learning and Reward Modeling; Develop Geometric Foundation Models for 3D spatial understanding; Enable Cross-Embodiment Robotics; Conduct empirical research on Scaling laws and Sim-to-real transfer; Define and evolve Evaluation Frameworks and Benchmarks
Seniority
Senior, hands-on IC