Research Scientist, Robot Foundation Models

📋 Description

• 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
• Explore and develop learning approaches including reinforcement learning, behavioural cloning and
• 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
• Collaborate closely with scientists, engineers and robotics teams to connect research progress to

🎯 Requirements

• Deep experience in machine learning, with a focus on one or more of: vision-language models, video
• Experience with scalable training, such as multi-node training, large datasets and/or large model
• Strong research track record, including publications in top-tier venues such as ICRA, CoRL, CVPR
• 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
• Experience translating research ideas into working systems, experiments or deployed capabilities.

🎁 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