inherent - Member of Technical Staff (Post Training)
Requirements
• 3+ years of deep learning research experience. • Experience post-training large language, vision, video or multi-modal models. • Demonstrated track record of success in deep learning research, whether papers, model releases, open-source contributions, or other artifacts. • 5+ years of software engineering experience, including deep familiarity with Python and at least one deep learning framework (e.g., PyTorch, JAX). • 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 mathematics, computer science or hard science discipline. • Hands-on experience training LLMs with RL at scale (GRPO/PPO, DPO, distillation, and variants). • Familiarity with distributed and long-context training infrastructure. • A background in autocurricula, open-endedness, meta-learning, or recursive self-improvement. • Experience post-training frontier models at an industry lab (scale, infra, and iteration speed).
Benefits
• You'll shape the core research of a frontier AI lab from the beginning. • You'll work on genuine recursive self-improvement — training AI scientists that improve the very pipeline that trains them — not incremental benchmark-chasing. • You'll dogfood your own work: the agents you post-train accelerate the research that creates them. • Small team, high trust, no bureaucracy, and a genuinely technical culture. • 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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