Research Scientist, Wayve Labs

Overview

In this role you will advance embodied AI for autonomous driving within Wayve Labs, bridging ML, simulation, robotics and real-world deployment. You’ll push multi-year breakthroughs in world modeling, spatial understanding and cross-embodiment learning. You’ll shape evaluation frameworks and contribute to scalable, responsible learning systems. Join a high-conviction research team tackling big, impactful problems with real-world deployment potential.

Pay / Benefits

• salary and equity
• relocation support with visa sponsorship
• hybrid working policy
• onsite chef
• private health insurance
• daily yoga

Responsibilities

• Develop World Models and Planners for realistic simulation
• Advance RL and reward modeling with scalable, safe learning across real and synthetic data
• Develop Geometric Foundation Models for 3D spatial understanding
• Enable Cross-Embodiment Robotics using multimodal foundation models
• Conduct empirical research on scaling laws, generalisation and sim-to-real transfer
• Define and evolve evaluation frameworks and benchmarks for long-horizon prediction and driving performance

Key requirements

• 3+ years of experience developing and deploying ML systems in real-world or production settings
• PhD or Master’s degree in Machine Learning, Computer Vision, Robotics, or a related field
• Deep expertise in Embodied AI areas: foundation models, generative world modeling, RL, spatial AI
• Track record of publications at top-tier conferences
• Strong Python programming with PyTorch experience
• Data-centric mindset with experience on large-scale datasets and evaluation
• Strong problem-solving and collaboration across interdisciplinary teams

• collaborative
• strong communication
• interdisciplinary teamwork
• Foundation models (transformers, MoE)
• Generative world modeling (diffusion, autoregressive, hybrids)
• Reinforcement learning (offline RL, RLHF, reward modeling)

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