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.

London, United Kingdom
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.

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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 systems for realistic simulation. You will advance geometric foundation models and multimodal robotics learning, research scaling and sim-to-real transfer, and define evaluation frameworks for long-horizon prediction and driving performance.

Requirements

  • 3+ years of experience developing and deploying machine-learning systems in real-world or production settings
  • PhD, Master's degree, or equivalent experience in machine learning, computer vision, robotics, or a related field
  • Expertise in embodied AI areas such as foundation models, generative world modeling, reinforcement learning, or spatial AI
  • Publication record at top-tier conferences
  • Python and PyTorch experience
  • Experience with large-scale datasets and evaluation

Responsibilities

  • Develop world models and planners for realistic, consistent simulation
  • Advance reinforcement learning and reward modeling across real and synthetic data
  • Develop geometric foundation models for 3D spatial understanding
  • Enable cross-embodiment robotics using 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