Description
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future.
You will join the Multi-Embodiment Generalist Agent (MEGA) team within Wayve Science as a founding member, building foundation models for general-purpose robots beyond self-driving vehicles.
Your day-to-day work may span vision-language-action models, world and action models, multimodal and omni models, video generation, reinforcement learning, imitation learning and behavioral cloning.
Key responsibilities:
- Lead research into architectures, data and learning approaches for robot foundation models.
- Design, implement and evaluate models such as VLAs, WAMs, omni-modal models, video models and related foundation-model architectures for robotics.
- Explore and develop learning approaches including reinforcement learning, behavioural cloning and other methods relevant to robot policy development.
- Synthesize, curate and filter large-scale video datasets for model training and evaluation.
- Build and use scalable distributed training pipelines and infrastructure for large models and large datasets.
- Influence and/or own technical decisions around robot policy development, data strategy and model design.
- Collaborate closely with scientists, engineers and robotics teams to connect research progress to real-world robot performance.
- Communicate research clearly internally and, where appropriate, contribute to external publications and Wayve’s scientific presence.
Requirements:
- Deep experience in machine learning, with a focus on one or more of: vision-language models, video models, robot policies, or foundation models for robotics or embodied AI.
- Experience with scalable training, such as multi-node training, large datasets and/or large model training.
- Strong research track record, including publications in top-tier venues such as ICRA, CoRL, CVPR, NeurIPS, ICML or ICLR.
- Strong coding skills and hands-on experience with modern machine learning frameworks.
- Ability to design and drive an independent research agenda while collaborating closely with engineering and robotics teams.
- Experience translating research ideas into working systems, experiments or deployed capabilities.
- Strong communication skills and the ability to influence technical direction across teams.
Benefits:
- Salaries benchmarked against the market annually
- Meaningful equity, sharing in the ownership and long-term success of Wayve
- Relocation support and visa sponsorship where applicable
- Hybrid working, core hours and the chance to work hands-on in vehicle workshops and labs
- Learning and development budgets with support for training, conferences and growth
- Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more