---
title: 'Member of Technical Staff (Factory Redesign) at Inherent'
canonical: 'https://feeny.ai/job/member-of-technical-staff-factory-redesign-inherent-london-wks460szjpa4'
type: 'job'
last_seen: '2026-09-10'
---

# Member of Technical Staff (Factory Redesign) at Inherent

- **Company:** Inherent
- **Location:** London, United Kingdom
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-05-28
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.ashbyhq.com/inherent/bca10c78-8efd-4fd2-bd8c-f9e20b63201e

## Job description

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 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.

## About Inherent

## Company Overview
- **One-liner**: Inherent is a London-based frontier AI lab building Faraday, an AI system for open-ended scientific discovery where humans and self-improving AI collaborate to tackle hard problems in science.
- **Entity Type**: Private (Seed stage; raised $50M)
- **Headquarters**: London, United Kingdom
- **Founded**: 2026 (public emergence from stealth)
- **Founders**: Tantum Collins, Edward Hughes, Louis Kirsch, Kaloyan Aleksiev

## Core Business
- Primary industry: Artificial intelligence for scientific research
- Target customers: R&D teams across global industries (B2B)
- Mission: “To discover new knowledge” by building AI-native research organisations that recursively self-improve

## Products & Services
- **[Faraday]**: An AI system designed for open-ended scientific discovery, enabling humans and self-improving AI to work together. It is not just an answer engine but a system that helps elucidate which questions to ask, accelerating research across domains and powering next-generation autonomous labs.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Total funding of $50M (Seed round, May 2026)
- **Notable Investors/Partners**: Index Ventures (co-lead), Radical Ventures (co-lead); advisor Matt Clifford (co-founder of Entrepreneurs First)
- **Growth Signals**: Emerged from stealth in May 2026; actively hiring for 6 technical roles (Post Training, AI for Science, Factory Redesign, Infrastructure Engineering); headcount of 8 as of May 2026; strong founding team from DeepMind, Microsoft, and White House AI policy

## Competitive Advantages
- **Recursive Self-Improvement (RSI)**: Inherent applies RSI at the organisational level, not just to an individual AI agent, creating a feedback loop that continuously expands collective human-machine capabilities.
- **AI-Native Organisation Design**: The company is built from scratch around human-AI teaming, with a Public Benefit Corporation structure and a societal-benefit board to ensure ethical alignment.
- **Founding Team**: Co-founders with deep experience at DeepMind, Microsoft, and White House AI policy, giving credibility and access to top talent.

## Strategic Focus
- Write the “playbook for AI-native science” by reinventing the scientific method from first principles.
- Expand Faraday’s capabilities to enable autonomous labs and accelerate discovery across biology, chemistry, materials, and other hard sciences.
- Grow the team across research, engineering, and infrastructure while maintaining a culture of “living within the experiment.”

## Why Work Here
- **Culture**: “Living within the experiment” – the team builds and uses its own systems, ensuring alignment with human values and joy of discovery.
- **Mission-Driven**: Focus on open-ended scientific discovery and societal benefit, not narrow commercial metrics.
- **Early-Stage Impact**: Join as a member of technical staff in a seed-stage startup with significant autonomy and influence.
- **Location & Flexibility**: All current roles are based in London; remote/hybrid policy not explicitly stated but likely office-first given the collaborative nature of the work.
- **Notable Perks**: Opportunity to work on frontier AI research with ex-DeepMind researchers; contribute to a new paradigm for scientific discovery.

## Sources
1. [inherentlabs.ai](https://inherentlabs.ai/)
2. [tech.eu](https://tech.eu/2026/05/29/london-based-ai-lab-inherent-emerges-from-stealth-with-50m-raise/)
3. [fastaijobs.com](https://www.fastaijobs.com/companies/inherent)
4. [tracxn.com](https://tracxn.com/d/companies/inherentlabsai/__tzwS3n1lcCiPRxg_FWUxJKE0h7lWY9ir0PCL9cRg3p4)
5. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/inherent/8ae679ae-b8f0-4372-a23c-fedeb6c23bbc)

## Other roles at Inherent

- [Research Fellow: Winter 2027](https://feeny.ai/job/research-fellow-winter-2027-inherent-london-8vczd1xcyndx) — London, United Kingdom
- [Member of Technical Staff (Infrastructure Engineer, Training and Inference Systems)](https://feeny.ai/job/member-of-technical-staff-infrastructure-engineer-training-and-inference-y5v6edh52ps3) — London, United Kingdom
- [Member of Technical Staff (Post Training)](https://feeny.ai/job/member-of-technical-staff-post-training-inherent-london-ksabd1ackh3b) — London, United Kingdom
- [Member of Technical Staff (Infrastructure Engineer, Compute Infrastructure)](https://feeny.ai/job/member-of-technical-staff-infrastructure-engineer-compute-infrastructure-a5fv3911md6h) — London, United Kingdom
- [Member of Technical Staff (AI for Science)](https://feeny.ai/job/member-of-technical-staff-ai-for-science-inherent-london-wa3hjgm2zxg3) — London, United Kingdom