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About the Role
Wayve is seeking Research Scientists to develop next-generation AI systems for autonomous driving. You will work on core innovations in embodied AI, spanning machine learning, simulation, robotics, and real-world deployment. This role is part of a high-conviction research team focused on multi-year breakthroughs.
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
- PhD, Master’s degree, or equivalent experience in Machine Learning, Computer Vision, Robotics, or a related field
- 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 (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
- Computer Vision
- Robotics
- Embodied AI
- Foundation models
- Transformers
- MoE
- Large-scale training
- Generative world modeling
- Diffusion models
- Autoregressive models
- Reinforcement learning
- Offline RL
- RLHF
- Reward modeling
- Spatial AI
- SLAM
- SfM
- Depth estimation
- Multi-view geometry
- Multimodal sensors
- Python
- PyTorch
- Data-centric mindset
- Large-scale datasets
- Evaluation
- Problem-solving
- Collaboration
- Autonomous driving
- Simulation systems
- FSDP
- DeepSpeed
- JAX
- Sim-to-real transfer
- Data-efficient learning
- Open-source ML tools
- Research infrastructure
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
- Relocation support
- 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
- Founded in 2017, Wayve is the leading developer of Embodied AI technology.
- Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.
- Our vision is to create autonomy that propels the world forward.
- Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.
- We embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions.
- We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.
- At Wayve, your contributions matter.
- We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.
- Make Wayve the experience that defines your career!
Equal Opportunity
- Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.
- We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.
- At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law.