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About the Role

We are seeking Research Scientists to join Wayve Labs and contribute to the development of next-generation AI systems for autonomous driving. This role is at the forefront of machine learning, simulation, robotics, and real-world deployment, focusing on core innovations in embodied AI. Our high-conviction research team prioritizes multi-year breakthroughs with strategic patience and backing.

Responsibilities

• Develop World Models and Planners using diffusion-based, autoregressive, or hybrid approaches for realistic and consistent simulation.
• Advance Reinforcement Learning and Reward Modeling by building scalable and safe learning frameworks across real and synthetic data.
• Develop Geometric Foundation Models for 3D spatial understanding in dynamic, real-world environments.
• Enable Cross-Embodiment Robotics by leveraging multimodal foundation models to accelerate robotic learning on diverse platforms.
• Conduct empirical research on Scaling laws, Generalisation, and Sim-to-real transfer.
• Define and evolve Evaluation Frameworks and Benchmarks for long-horizon prediction, scene fidelity, and driving performance.

Requirements

• 3+ years of experience developing and deploying ML systems in real-world or production settings.
• Deep expertise in one or more core Embodied AI areas, including Foundation models, Generative world modeling, Reinforcement learning, or Spatial AI.
• Track record of publications at top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, CoRL).
• Strong programming skills in Python, with experience using frameworks such as PyTorch.
• A data-centric mindset, with experience working on large-scale datasets and evaluation.
• Strong problem-solving ability and the ability to collaborate effectively in interdisciplinary teams.
• Experience in autonomous driving, robotics, or simulation systems (nice-to-have).
• Familiarity with large-scale training (e.g., FSDP, DeepSpeed, JAX) (nice-to-have).
• Experience with sim-to-real transfer or data-efficient learning (nice-to-have).
• Contributions to open-source ML tools or research infrastructure (nice-to-have).

Skills

• Machine Learning
• Simulation
• Robotics
• Embodied AI
• World Modeling
• Reward Modeling
• Representation Learning
• Spatial Intelligence
• Scalable Decision-Making Systems
• Cross-Embodiment Learning
• Multimodal Learning
• Foundation models
• Transformers
• Mixture of Experts (MoE)
• Large-scale training
• Generative world modeling
• Diffusion models
• Autoregressive models
• Reinforcement learning
• Offline RL
• RLHF
• Spatial AI
• SLAM/SfM
• Depth estimation
• Multi-view geometry
• Multimodal sensors
• Python
• PyTorch
• Data-centric approach
• Large-scale datasets
• Evaluation frameworks
• Autonomous driving
• FSDP
• DeepSpeed
• JAX
• Sim-to-real transfer
• Data-efficient learning
• Open-source ML tools

Location

• London

Work Type

• Full-time
• Hybrid

Experience Level

• 3+ years of experience

Education Level

• PhD
• Master’s degree
• Equivalent experience

Salary/Compensations

• Attractive compensation with salary and equity

Benefits

• Bespoke learning and development opportunities
• Relocation support with visa sponsorship
• Flexible working hours
• Onsite chef
• Workplace nursery scheme
• Private health insurance
• Therapy
• Daily yoga
• Onsite bar
• Large social budgets
• Unlimited L&D requests
• Enhanced parental leave

About the Company

• Wayve Labs is building the next generation of AI systems for autonomous driving.
• We are a high-conviction research team with the strategic patience and backing to prioritise multi-year breakthroughs over incremental gains.
• We are looking for highly motivated individuals with expertise and passion to push the frontier of embodied AI.