2 часа назад
Research Scientist (AI Interpretability)
150 000 - 300 000GBP
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Research Scientist (AI Interpretability): Developing techniques to understand and steer large AI models with an accent on mechanistic interpretability, model representations, and applied research. Focus on visualizing and manipulating internal model structures, translating research into production-ready tools, and communicating findings through publications, demos, and open-source contributions.
Location: London, England office; in person 5 days a week, with one company-wide remote week per month
Salary: £150,000–£300,000 GBP per year
Company
is a public benefit research company developing interpretability techniques to understand, debug, steer, and improve AI systems.
What you will do
- Conduct original research in AI interpretability and related fields.
- Develop and prototype techniques for visualizing and manipulating internal model structures.
- Investigate how neural networks represent and process information.
- Collaborate with engineering to turn research into production-ready tools for real-world and enterprise applications.
- Share results through publications, demonstrations, and open-source contributions.
- Help define and evolve the research direction.
Requirements
- PhD or equivalent experience in machine learning, computer science, or a quantitative science.
- Deep familiarity with large AI models and strong interest in understanding how they work.
- Fluency in Python and machine learning frameworks such as PyTorch.
- Strong writing and communication skills for explaining complex ideas.
- Ability to move quickly, take ownership, and work effectively in a high-intensity environment.
Nice to have
- Experience leading research or contributing to open-source codebases.
- Familiarity with interpretability, alignment, or safe model development.
- Experience in startup or fast-paced laboratory environments.
Culture & Benefits
- Mission-driven, collaborative research and engineering environment.
- Emphasis on continuous improvement, ownership, initiative, and rapid execution.
- Market-competitive salary, equity, and competitive benefits.
- One company-wide remote week per month.
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