Lead research and development of foundation models for general-purpose robots.
•Wayve is seeking a Principal Research Scientist to join the Multi-Embodiment Generalist Agent (MEGA) team.
•This role focuses on building foundation models for general-purpose robots beyond self-driving vehicles, aiming for intelligent agents that can interact with the physical world.
•Key Responsibilities Lead research into architectures, data, and learning approaches for robot foundation models.
•Design, implement, and evaluate models such as VLAs, WAMs, and omni-modal models for robotics.
•Explore and develop learning approaches including reinforcement learning and behavioral cloning.
•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.
•Requirements Deep experience in machine learning, with focus in one or more of: vision-language models, video models, robot policies, 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.
•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.