Senior Machine Learning Engineer, Data for Embodied AI

The goal of this role is to build, scale, and optimise next-generation world model architectures (e.g. GAIA and successors) and bridge them into high-throughput training infrastructure, enabling synthetic data and simulation to dramatically accelerate autonomy development. You’ll design systems to acquire, process, and curate multimodal data at scale. You’ll turn raw experience into the high-quality datasets that fuel our models. You’ll sit at the intersection of machine learning research and data engineering, collaborating closely with scientists and infrastructure teams to ensure our workflows are robust, efficient, and deeply integrated with our model training stack. Your work will directly impact how quickly and effectively we can train, evaluate, and deploy embodied AI systems in the real world.