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About the Role
We are looking for Research Scientists to join Wayve Labs and help build the next generation of AI systems for autonomous driving and robotics. You will work at the intersection of machine learning, simulation, robotics, and real-world deployment, contributing to core innovations that push the boundaries of embodied AI. Our high-conviction research team has the strategic patience and backing to prioritize multi-year breakthroughs over incremental gains.
Responsibilities
- Develop World Models and Planners (e.g., diffusion-based, autoregressive, or hybrid approaches) for realistic and consistent simulation
- Advance Reinforcement Learning and Reward Modeling, 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, leveraging the power of 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, such as: Foundation models (e.g., transformers, MoE, large-scale training), Generative world modeling (e.g., diffusion, autoregressive, hybrid approaches), Reinforcement learning (e.g., offline RL, RLHF, reward modeling), Spatial AI (e.g., SLAM/SfM, depth estimation, multi-view geometry with multimodal sensors)
- 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
- Familiarity with large-scale training (e.g., FSDP, DeepSpeed, JAX)
- Experience with sim-to-real transfer or data-efficient learning
- Contributions to open-source ML tools or research infrastructure
Skills
- Machine Learning
- Simulation
- Robotics
- Embodied AI
- World Modeling
- Reward Modeling
- Representation Learning
- Spatial Intelligence
- Scalable Decision-Making Systems
- Cross-Embodiment Learning
- Multimodal Learning
- Python
- PyTorch
- Foundation models
- Transformers
- MoE
- Generative world modeling
- Diffusion models
- Autoregressive models
- Reinforcement learning
- Offline RL
- RLHF
- Spatial AI
- SLAM/SfM
- Depth estimation
- Multi-view geometry
- Autonomous driving
- Large-scale training
- FSDP
- DeepSpeed
- JAX
- Sim-to-real transfer
- Data-efficient learning
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
- Attractive compensation with salary and equity
- Immersion in a team of world-class researchers, engineers and entrepreneurs
- A unique position to shape the future of autonomy and tackle the biggest challenge of our time
- 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 and robotics.
- We are a high-conviction research team with the strategic patience and backing to prioritise multi-year breakthroughs over incremental gains.
- We are focused on pushing the frontier of embodied AI.