Staff Machine Learning Software Engineer

We are looking for an ML Software Engineer to join the Multi-Embodiment Generalist Agent (MEGA) team within Wayve Science as a founding member.

MEGA is building foundation models for general-purpose robots: models that learn from large-scale video, language, and robot-interaction data, then generalize across tasks and embodiments—including mobile manipulators, dual-arm platforms, and humanoids. Our aim is to build agents that can perceive, reason about, and act reliably in the physical world.

You will design and build the software systems that enable MEGA's machine learning research. This includes scalable ML pipelines, data and training infrastructure, and the shared tools and abstractions that allow researchers to move quickly from an idea to a reliable experiment.

The role sits close to the models and data. You will work with large-scale video and robotics datasets, modern ML frameworks, and increasingly large models, building systems that remain reliable and maintainable as the research program grows. A major part of the role will be designing and maintaining robust workflows and reusable infrastructure that can support multiple ML projects. This emphasis on infrastructure, software systems, repo health, testing and maintainability is central to the role.

You will be a core member of the MEGA team, owning key parts of the software and ML infrastructure that underpin the research program. You will work directly on the systems used to build, train, evaluate, and scale our models, and help shape how the team develops and operates its ML stack as the program grows.

Key Responsibilities

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