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Principal Research Scientist - Embodied AI

wayve • United Kingdom
Visa Sponsorship Relocation
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Lead an ambitious research agenda at the intersection of LLMs, VLMs, VLAs and embodied AI at Wayve Labs. Develop new architectures, training methods, and reasoning capabilities for autonomous driving agents, publishing influential research. Require a PhD in ML/CS/Robotics with a strong publication record and hands-on experience training large-scale multimodal models.

Key Highlights
Lead research on multimodal foundation models (LLMs, VLMs, VLAs) for embodied decision-making
Develop reasoning, planning, memory, and temporal understanding for physically grounded agents
Push boundaries in scalable training methods including SFT, RL, reward modelling, and distillation
Mentor researchers, set technical direction, and shape the next generation of embodied AI systems
Bridge semantic reasoning and physical-world behaviour in challenging driving scenarios
Key Responsibilities
Set and lead an ambitious research agenda at the intersection of LLMs, VLMs, VLAs and embodied AI
Develop new architectures and learning methods, train and evaluate large-scale models
Research and advance multimodal foundation models that integrate visual understanding, language, reasoning and action
Explore structured and latent reasoning, long-horizon planning, temporal understanding, memory, self-reflection and test-time computation
Develop scalable training and post-training methods including supervised fine-tuning, reinforcement learning, reward modelling, distillation and learning from human or AI-generated feedback
Enable embodied agents to understand instructions, follow goals and preferences, reason about constraints and generalise to novel environments
Investigate deliberative reasoning, memory, external tools and fast reactive policies in agentic and hierarchical architectures
Design rigorous experiments, build prototypes, establish challenging evaluations and demonstrate improvements in real-world capabilities
Guide the technical direction of the team, mentor researchers and build strong collaborations with Engineering
Contribute original ideas and help define the next generation of embodied AI systems
Technical Skills Required
Python PyTorch Machine Learning
Benefits & Perks
Meaningful equity and long-term ownership of Wayve
Relocation support and visa sponsorship where applicable
Hybrid working with hands-on lab and vehicle workshop time
Learning and development budgets for training, conferences and growth
Comprehensive benefits including health insurance, dental, enhanced maternity/paternity leave, pension, therapist access and wellbeing partnerships

Job Description

Before the detail, here's the challenge you'd help us solve.

We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.

Here’s what this particular role covers.

About our Labs Team

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