Research Scientist, Wayve Labs
Core
Building next-generation AI systems for autonomous driving at the intersection of machine learning, simulation, robotics, and real-world deployment.
Role type
Research Scientist (Embodied AI)
Builds
Embodied AI systems for automakers to accelerate the transition from assisted to automated driving.
Domain
Autonomous driving, Embodied AI, Machine Learning, Robotics
Deliverable
production ML models
Required skills
Reinforcement learning, Generative world modeling, Spatial AI (SLAM/SfM, depth estimation), Foundation models (transformers, MoE), Python, PyTorch, Large-scale dataset evaluation
Preferred skills
Autonomous driving experience, Large-scale training frameworks (FSDP, DeepSpeed, JAX), Sim-to-real transfer, Open-source ML contributions
Technologies
PyTorch, Transformers, Diffusion models, Autoregressive models, JAX, FSDP, DeepSpeed
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 Evaluation Frameworks and Benchmarks.
Seniority
Senior, hands-on IC