Research Scientist (London)

3 нед. назад

United KingdomEurope

Develop new techniques for understanding and steering large AI models within a mission-driven research team.

Обязанности

We’re looking for a Research Scientist to join our team and develop new techniques for understanding and steering large AI models. You’ll work closely with a small, mission-driven team of scientists and engineers to conduct novel research, build practical tools, and push the field forward.
Conduct original research in interpretability and related fields.
Prototype techniques to visualize and manipulate internal model structures.
Collaborate with engineering to turn research into production-ready tools.
Share your work through publications, demos, and open-source contributions.
Help define and evolve our research direction.

Будет плюсом

Experience leading research or contributing to open-source codebases.
Familiarity with interpretability, alignment, or safe model development.
Experience in startup or fast-paced lab environments.

Условия

This role offers market competitive salary, equity, and competitive benefits.
The expected salary range for this position is £150,000 to £300,000 GBP.
Most importantly, you'll have the opportunity to join a vital mission at an important point in its trajectory — we are developing groundbreaking technology with a world-class team on the critical path to ensuring a safe and beneficial future for humanity. If you want to do your life’s work with us, even if you believe you do not meet every single requirement, apply now.

Другое

is a research company using interpretability to understand, learn from, and design AI systems. Our mission is to build the next generation of safe and powerful AI—not by scaling alone, but by understanding the intelligence we're building. Scaling has proven powerful, but today's approach is fundamentally limited: we can't meaningfully understand, debug, or shape what models learn. Every engineering discipline has been gated by fundamental science and AI is at that inflection point now.
We're advancing the science of how AI systems actually work. Treating models as black boxes is an unnecessary handicap—we have access to the structures inside them, and understanding those structures lets us steer what models learn, make them safer and more useful, and extract the vast knowledge they contain. Our goal is to make AI that can be understood, debugged, and shaped like software.
is a public benefit corporation headquartered in San Francisco with a team of the world’s top interpretability researchers and engineers from organizations like OpenAI and DeepMind. We're backed by over $200M from B Capital, Menlo Ventures, Lightspeed, Eric Schmidt, and others.
Interpretability mechanisms – Foundational research on how models represent and process information.
Moonshots – High-upside bets on novel techniques that could unlock breakthroughs in model understanding.
Applied research & usability – Translating research into tools for real-world users and enterprise applications.
You’ll be working closely with our team in London, who focus on mechanistic understanding of the algorithms that neural networks have learned.
PhD or equivalent experience in ML, computer science, or a quantitative science.
Deep familiarity with large models and a passion for understanding how they work.
Fluency in Python and ML frameworks such as PyTorch.
Strong writing and communication skills for explaining complex ideas.
Drive to move quickly and take ownership.
is looking for individuals who embody our values and share our deep commitment to making interpretability accessible. We are building a team first and foremost.
All we do is in service of our mission. We trust each other, deeply care about the success of the organization, and choose to put our team above ourselves.
We are constantly looking to improve every piece of the business. We proactively critique ourselves and others in a kind and thoughtful way that translates to practical improvements in the organization. We are pragmatic and consistently implement the obvious fixes that work.
There are no bystanders here. We proactively identify problems and take full responsibility over getting a strong result. We are self-driven, own our mistakes, and feel deep responsibility over what we’re building.
We have a small amount of time to do something incredibly hard and meaningful. The pace and intensity of the organization is high. If we can take action today or tomorrow, we will choose to do it today.
We are hiring for this position in our London, England office. We are in person 5 days a week, with one company-wide remote week per month.