Research Scientist Wayve Labs
Wayve is a London-headquartered embodied-AI company developing and licensing mapless, vehicle-agnostic driving software for assisted, automated, and robotaxi applications.
About Wayve
Wayve Technologies Ltd. develops the Wayve AI Driver, an end-to-end, data-trained software platform that runs on onboard vehicle compute and native sensors. It is designed for OEM integration across L1 driver assistance through L4 automated driving, without HD maps.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will develop world models, planners, reinforcement-learning and reward-modeling frameworks, and geometric foundation models. You will advance cross-embodiment robotics, conduct research on scaling laws and sim-to-real transfer, and define evaluation frameworks and benchmarks for prediction 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 a related field
- Expertise in foundation models, generative world modeling, reinforcement learning, or spatial AI
- Track record of publications at top-tier conferences
- Strong Python programming skills and PyTorch experience
- Experience with large-scale datasets and evaluation
- Experience in autonomous driving, robotics, or simulation systems
- Familiarity with FSDP, DeepSpeed, or JAX
- Experience with sim-to-real transfer or data-efficient learning
- Contributions to open-source ML tools or research infrastructure
Responsibilities
- Develop world models and planners for simulation
- Advance reinforcement learning and reward modeling frameworks
- Develop geometric foundation models for 3D spatial understanding
- Enable cross-embodiment robotics with multimodal foundation models
- Conduct research on scaling laws, generalisation, and sim-to-real transfer
- Define and evolve evaluation frameworks and benchmarks
Benefits
- Equity
- Relocation support with visa sponsorship
- Flexible working hours
- Onsite chef
- Workplace nursery scheme
- Private health insurance
- Therapy
- Daily yoga
- Onsite bar
- Large social budgets
- Enhanced parental leave