Inherent

Location London Employment Type Full time Location Type On-site Department Technical Staff Member of Technical Staff, Compute Infrastructure - Inherent (London) 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. About the role We're looking for an infrastructure engineer to help make best use of cutting edge hardware for inference and training. You'll build the operational layer of our research compute: GPU clusters, scheduling, networking, observability, and the on call system that keeps it all running. This is the foundation that lets frontier research happen quickly, reliably, and repeatedly for both humans and AI agents. Infra here is a core part of the research process, not a support function. Inherent is a recursive company through and through, and we're constantly closing loops from the infra level, to the scientific level, to the org level. What you'd do Run and evolve our GPU clusters: scheduling, utilisation, debugging, performance. Scale the Kubernetes / Linux / networking / cloud stack end to end. Establish operational excellence: incident response, postmortem culture, on call health. Build agent driven automation for cluster lifecycle, provisioning, and remediation. Partner directly with the research team to optimise the platform they rely on every day. What we're looking for Experience operating infra at scale, preferably for LLM workloads. Depth in Kubernetes internals, cluster provisioning, and orchestration systems. Comfortable across the stack: Kubernetes, Linux, networking, containers, cloud environments. Strong systems thinking: you care about reliability, performance, and operational clarity. Good taste: you know when to build, when to buy, and when to delete. AI pilled: adopting agents, keen to build a company where agents are front and centre. Strong candidates may also have Cloud and cluster networking expertise, e.g. VPC, BGP, CNI, eBPF, service mesh. Experience with GPUs and CUDA. Infrastructure as code and workflow orchestration experience (Terraform and similar). Track record leading multi quarter infra initiatives end to end. Why this is interesting You'll shape the core technical foundation of a frontier AI lab from the beginning. The infra problems are unusually hard and creative: iteration speed for recursively self improving agents, which themselves compound the iteration speed, is the whole game. Small team, high trust, no bureaucracy, and a genuinely technical culture. You'll work alongside world class colleagues with diverse backgrounds: experts in foundation model training, AI for science, and organisational design. 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.

Location London Employment Type Full time Location Type On-site Department Technical Staff Member of Technical Staff, AI for Science - Inherent (London) 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. About the role We're looking for Members of Technical Staff to develop transformative AI Scientist agents that make meaningful contributions to in silico and in situ discoveries in specific scientific domains. Your work will leverage our state-of-the-art proprietary foundation models, adapting their capabilities to a particular scientific vertical. You will be involved in every-level of the AI for Science lifecycle: judiciously selecting research problems, creating evaluations and training data, post-training and harnessing Inherent's models, building interfaces to infrastructure for scientific experiments (e.g., scientific software, simulators, cloud labs), driving experimental iteration on agent behaviour, and collaborating with external scientists to validate and deploy our systems. You will work closely with an experienced technical team of humans, and increasingly alongside the AI scientist collaborators we dogfood. What you'd do Devise and hone AI for Science research settings in your area of expertise that are amenable to open-ended exploration by AI Scientist agents (either in silico or in situ). Benchmark Inherent's proprietary agents in your AI for Science environments, gathering data to improve agent performance via post-training and harness iteration. Contributing data, evaluations, feedback and expert opinion to Inherent's post-training team, in service of improving our core foundation models. Close recursive loops wherever possible, for example by enabling our agents to automatically deploy, debug and repair themselves. Work closely with scientific partners and customers, which may include forward deployment. What we're looking for 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. Why this is interesting 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. 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.

Inherent, located in London, is seeking an Infrastructure Engineer to build the operational layer for cutting-edge AI research using GPU clusters and Kubernetes. This role is crucial to accelerate the research process and ensure reliability and performance. The ideal candidate will have experience with large-scale infrastructure, particularly in LLM workloads, and a knack for operational excellence. Join us to shape the future of AI-driven science at our dynamic lab.

Location London Employment Type Full time Location Type On site Department Technical Staff Member of Technical Staff, Training Infrastructure - Inherent (London) 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. About the role We're looking for an infrastructure engineer to help build the training and inference systems that frontier research depends on. You'll build and maintain the systems our researchers - and our AI Scientists themselves - depend on to train and serve models. The focus is on speed, reliability, and ease of use, with a particular emphasis on large scale distributed RL and deployment in scientific domains. Infra here is a core part of the research process, not a support function. Inherent is a recursive company through and through, and we're constantly closing loops from the infra level, to the scientific level, to the org level. What you'd do Contribute to our training + inference infrastructure end to end. Build systems to run large scale experiments: distributed job orchestration, data pipelines, evals. Implement and harden RL and post training libraries for our models. Close recursive loops so AI agents can drive their own training and infrastructure. Work closely with the core research team on the systems they live inside. What we're looking for High performance, large scale distributed systems experience, preferably for LLM workloads. Proficiency in Python and PyTorch or JAX. Hands on experience with large scale LLM training or inference technologies, e.g. SGLang, vLLM, verl, Megatron, OpenRLHF. Good taste: you know when to build, when to buy, and when to delete. AI pilled: adopting agents, keen to build a company where agents are front and centre. Strong candidates may also have Experience with a systems programming language like Rust or C++. Experience with writing and profiling CUDA kernels. A track record of building reliable research tools. Why this is interesting You'll shape the core technical foundation of a frontier AI lab from the beginning. The infra problems are unusually hard and creative: iteration speed for recursively self improving agents, which themselves compound the iteration speed, is the whole game. Small team, high trust, no bureaucracy, and a genuinely technical culture. You'll work alongside world class colleagues with diverse backgrounds: experts in foundation model training, AI for science, and organisational design. 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.

Inherent in London is seeking a Member of Technical Staff to help redesign their AI research factory. You will build systems and workflows to embed self-improving AI within the organization. The role involves defining metrics and running experiments to measure AI's impact on operations and decision-making. Candidates should have strong software engineering skills, especially in Python, and experience with frontier coding tools. Join Inherent's innovative team focused on AI-enabled science in a collaborative environment.

Inherent in London is seeking an Infrastructure Engineer to build and maintain training and inference systems essential for frontier research. The ideal candidate will contribute to systems that emphasize speed and reliability, focusing particularly on large-scale distributed reinforcement learning. We value candidates with background knowledge in Python and familiarity with large-scale AI technologies. Joining us means shaping the core technical foundation of an innovative AI lab committed to scientific advancement.

Location London Employment Type Full time Location Type On-site Department Technical Staff Member of Technical Staff, Factory Redesign - Inherent (London) 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. About the role We're looking for someone to help redesign our research factory by inventing new systems, workflows, and measurements for human machine teaming. You will continually figure out the most effective way to embed self improving AI within the organisation, to the benefit of human safety, agency, fairness and enjoyability. You'll define and build novel tooling that centers AI in every part of the company: research, operations, decision making, planning, hiring. You'll also run rigorous experiments to predict and test empirically how well the new organisational structures work: defining metrics, designing interventions, and surfacing the best human machine configuration for every kind of work we do. Factory design is at the heart of how we do research. Inherent is a recursive company through and through: from the infrastructure level, to the scientific level, to the organisational level - and an improvement in each area triggers improvement in the others. What you'd do Build novel internal tooling that integrates AI deeply into research workflows, operations, and decision making. Design and run experiments measuring the economic and productivity impact of AI across the company. Invent new metrics for human machine collaboration - what's working, what isn't, and where the leverage is. Push the frontier of agentic coding and AI augmented work internally, inventing new agentic coding methods and workflows. Partner with every team to find the optimal human machine configuration for the work they do. What we're looking for Deep software engineering or data science experience with strong expertise in Python. Strong fluency with frontier agentic coding tools, e.g. Claude Code, Cursor, Codex - used daily, with opinions on what good workflow looks like. Comfort designing and analysing experiments: strong analytical skills, rigorous measurement, and experience in experiment design. Interest in the future of work and how AI should be woven into an organisation. Good taste: you know when to build, when to buy, and when to delete. AI pilled: adopting agents, keen to build a company where agents are front and centre. Strong candidates may also have A track record of building tooling (internal or external) that other people have adopted. Background in productivity research, applied economics, or organisational design. Comfort moving fluidly between writing code and doing quantitative analysis. Experience instrumenting and measuring engineering or research orgs end to end. Why this is interesting You'll shape how a frontier AI lab is run from the beginning, and be an architect of its organisational operating system for years to come. You'll devise and participate in radical organisational experiments that help to define the future of work at Inherent and beyond. Small team, high trust, no bureaucracy, and a genuinely technical culture. 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.

Inherent, based in London, is seeking a Member of Technical Staff to lead the development of state-of-the-art AI research capabilities. You will engage closely with a team to develop and implement post-training methods that enhance AI models and their research output. The ideal candidate will have at least 3 years of deep learning experience and a robust software engineering background, with a strong command in Python and deep learning frameworks like PyTorch. If you are driven by a passion for transformative AI research in a unique lab culture, we encourage you to apply.

Location London Employment Type Full time Location Type On-site Department Technical Staff Member of Technical Staff, Post-Training - Inherent (London) 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. About the role We're looking for Members of Technical Staff to lead work on post training state of the art foundation models for open ended agentic capabilities in scientific research. You'll be involved at every level of the post training pipeline: sourcing and creating data, building autocurricula, devising and implementing SFT and RL algorithms, constructing tools and harnesses for foundation model self improvement, analysing research results, and using information gained to devise future hypotheses. You will work closely with an experienced technical team of humans, and increasingly alongside the AI scientist collaborators we dogfood. What you'd do Design, implement, and tune SFT and RL algorithms to post train models that autonomously perform state of the art research. Build the autocurricula, judges, harnesses and eval pipelines that turn open ended research tasks into reliable reward signal. Run large scale experiments on state of the art hardware and analyse experiments to determine the next hypotheses to test, in collaboration with our AI agents. Close recursive loops so that AI agents drive their own post training research. Work closely with colleagues in the Infrastructure and AI for Science teams to optimise hardware and deliver remarkable performance in real scientific domains. What we're looking for 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 organisational 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). Why this is interesting 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. 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.

Inherent in London is seeking a Member of Technical Staff to develop transformative AI Scientist agents that contribute to scientific discoveries. The ideal candidate has over 5 years of experience in hard science research or AI for science and a proven track record in research. This role involves working closely with a technical team to leverage unique AI capabilities, enabling breakthroughs in scientific research while collaborating with leading scientists. The position offers a dynamic, no-bureaucracy environment in London's King's Cross.