Research Scientist, Wayve Labs

Research Scientist role at Wayve Labs focused on advancing embodied AI for autonomous driving. You’ll work at the intersection of machine learning, simulation, robotics, and real-world deployment, developing world models and planners, advancing RL and reward modeling, and building geometric foundation models for 3D spatial understanding. Responsibilities include developing diffusion-based or autoregressive world models, scaling reinforcement learning and reward modeling across real and synthetic data, enabling cross-embodiment robotics with multimodal foundation models, conduct scaling law studies and planning benchmarks, and defining evaluation frameworks for long-horizon prediction and driving performance. Must-haves include 3+ years of ML system development/deployment experience, a PhD or Master’s degree (or equivalent), deep Embodied AI expertise in areas like foundation models, world modeling, RL, and spatial AI; publications at top conferences; strong Python/PyTorch skills; and a data-centric, collaborative problem-solving mindset. Nice-to-haves include autonomous driving/robotics experience, large-scale training familiarity, sim-to-real transfer, and open-source contributions. The role is full-time, based in Vancouver, with a hybrid work policy and relocation sponsorship.