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You have strong technical foundations in physics, engineering, or similar, that enables you to understand complex systems and "figure out" the constraints of the physical world, even if your primary experience is digital.
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Proven experience in a "building" role, either as a software/infrastructure engineer at an AI lab, an AI security startup, or a high-level independent developer alongside your primary research. You will have personally written, tested, and shipped complex codebases or AI infrastructure.
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You have demonstrable applied AI experience; have worked with/on AI already, and have thought deeply about the implications of AI on the world.
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Demonstrated experience in AI red-teaming, formal verification, or security research. You should have a "hacker’s" intuition for identifying non-obvious failure modes in agentic systems.
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You have the ability to interrogate the "how" of a project at a granular level, evaluating the technical feasibility of complex milestones (e.g., agentic loops, recursive coordination) from a first-principles engineering perspective.
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Entrepreneurial, you understand that the impact generated is more important than accolades or following a set process and are willing to start new initiatives and think outside of the box.
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Independent, you have the ability and track record to reliably take on a project from start to completion, manage it, self-impose standards of excellence, raising your hand when help is needed.
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You are hungry and ambitious; on a team level, pushing us to think hard about the biggest things we can achieve and ensuring we aim for the moon; on a personal level, setting big goals for yourself that we can help you achieve and support you in.
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You can uncover non-obvious opportunities and risks, connecting teams, ideas, and research threads in novel ways that drive adoption and translation
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You comprehend and articulate complex technical concepts and timelines clearly and with conviction, think and communicate with structure, and interrogate ideas effectively.
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Highly adaptable, you are okay with uncertainty and a fast-paced environment.
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Experience in robotics, "nature" cryptography, or autonomous systems where digital agents interact with physical hardware/constraints.
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A track record of not just writing papers, but implementing those theoretical findings into working prototypes or tools.
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Practical or research-led experience in multi-agent reinforcement learning (MARL), agentic game theory, or designing mechanisms for coordination in untrusted environments.
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Familiarity with "Scaling Trust” primitives such as Trusted Execution Environments (TEEs), Zero-Knowledge Proofs (ZKPs), or programmable cryptography..
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You are obsessed about niche technologies, future technologies, and the future itself.
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You have successfully performed technical assignments that require unconventional or novel approaches.
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You have a strong working knowledge of the UK R&D ecosystem and how to activate relevant parts of it.