Principal Research Scientist, Robot Foundation Model

Job description

Job 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.