inherent - Member of Technical Staff (AI for Science)
Requirements
• 5+ years of experience in hard science research, AI for science, data science or industry R&D. • Experience applying ML to drive scientific progress in silico or in situ on in-lab or real-world datasets. • Demonstrated track record of success in research, whether papers, product releases, open-source contributions, or other artifacts. • 3+ years of software engineering experience, including familiarity with Python and at least one deep learning framework. • Experience using the latest coding agents, and opinions about optimal workflow. • Enthusiasm for experimental organizational design. • AI-pilled: adopting agents, keen to build a company where agents are front and centre. • STRONG CANDIDATES MAY ALSO HAVE • PhD in a scientific discipline. • Contribution to a well-cited work in AI for Science writ large (e.g., ML to predict protein structure, neural weather forecasting systems, reinforcement learning for materials discovery, or causal models for financial risk prediction). • Hands-on experience using AI agents to automate parts of the scientific workflow in a particular scientific vertical. • Familiarity with post-training and harnessing foundation models. • An interest in AI Scientist agents, open-endedness, meta-learning, or recursive self-improvement. • Strong relationships with leading scientists in a field of scientific research amenable to low-latency and high-throughput experiments. • Experience building or operating autonomous labs.
Benefits
• You'll shape the core research of a frontier AI lab from the beginning. • You'll work on genuine scientific discovery — training AI scientists that empower humans to flourish — not incremental benchmark-chasing. • Small team, high trust, no bureaucracy, and a genuinely technical culture. • Our products will be used by the world’s best scientists to power breakthrough research of huge benefit to humanity, while preserving human agency. • We only select people with low ego, spiky skill profiles, commitment to societal benefit, unusual viewpoints, and a passion for "living in the experiment". We'll win because we're willing to try things that no incumbent would even think to do, let alone action. • We have really good lunch and dinner. Seriously. You've got to try it. We're based in King's Cross, London and believe in the pace and energy of working in person. We’re committed to having the most tasteful, and the weirdest, office of any AI lab: the environment shapes the agents within it. • If you believe in our mission and culture, and are qualified and motivated, we encourage you to apply, even if you don’t meet every one of the criteria above. We know that many of the most creative and talented people have had unusual career paths and backgrounds. Building a team with a diversity of thought is mission-critical, for plurality spurs curiosity, invention and collective experimentation.
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