Inherent
Research Fellow: Winter 2027
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Research Fellow: Winter 2027
At Inherent, we are on a mission to build AI that recursively self-improves to discover new knowledge. Scientific advances are the backbone of our economic, technological and societal prosperity, but ideas are getting harder to find and breakthroughs are becoming more expensive. We are building a new frontier lab dedicated to developing AI that explores “unknown unknowns” to uncover paradigm-shifting research contributions. Science is a social endeavour, and so our mission is inextricably a human-machine teaming problem. We’re starting by reinventing the AI research factory so that our own agents accelerate their own creation.
Inherent is a well-funded, fast-growing neo-lab backed by Tier 1 VCs who believe in our ethical stance. We are a team of operators with backgrounds at frontier labs who have done foundational work in recursive self-improvement, AI Scientists, world modelling, meta-RL and human-machine cooperation. Working in-person every day at our high-intensity London headquarters, we believe that Europe will lead the way in the coming paradigm of AI-enabled science, unlocking human potential across the globe.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
About the role
The Inherent Research Fellowship invites 3-5 exceptional PhD students to spend 14 weeks living in our experiment. In summer 2026, we welcomed fellows undertaking PhDs at Oxford and EPFL, with past experience at Meta, DeepMind and Mila. We are now inviting applications for our Winter 2027 Fellowship, running from January to April.
Research fellows pioneer new and creative ideas in the fields of open-endedness, recursive self-improvement, AI Scientist systems, and efficient model training. Fellows have access to industry-scale compute and frontier hardware. Each fellow can elect to work on Inherent’s core models (for example, Training AI Scientists to Replicate Research) and/or to drive a parallel research project aligned with our mission. We encourage each fellow to publish work.
Inherent is reinventing the AI research factory for the age of AI agents. Fellows participate fully in our organisational experiments, helping to design and evaluate unusual bets. We especially value collaboration, and empower fellows to work together, and to receive mentorship from experienced researchers and engineers across the team.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
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.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location