Research Scientist

4 weeks ago

London, Greater London, United Kingdom AI Safety Institute Full time

AISI is launching a pioneering Mechanistic Interpretability team to tackle the fundamental question of how can we tell if a model is scheming? This is an ambitious bet to bring interpretability as a field into prime time. We believe that this is a vital challenge that mechanistic interpretability can help solve, ensuring that dangerous capability evaluations can be reliably determined if models are safe to release even when the models themselves are capable of gaming the evals. We also think it can lead to an entirely new field of alignment evaluations and make substantial contributions to the problem of technical AI safety.

To launch this project, we're seeking a team lead, research scientists, and research engineers. The successful candidates will have a large amount of scientific autonomy, with the ability to chase ambitious research bets. Key responsibilities include:

  • Training sparse auto encoders (or fine-tuning open source SAEs).
  • Circuit discovery/analysis.

You'll receive coaching from your manager and mentorship from the research directors at AISI (including Geoffrey Irving and Yarin Gal). Key qualifications include:

  • Hands-on mechanistic interpretability research experience.
  • Experience working within a research team that has delivered multiple exceptional scientific breakthroughs in deep learning (or a related field).
  • Comprehensive understanding of large language models (e.g. GPT-4), including both a broad understanding of the literature and hands-on experience with pre-training or fine tuning LLMs.
  • Strong track-record of academic excellence (e.g. multiple spotlight papers at top-tier conferences).
  • Improving scientific standards and rigour through mentorship & feedback.
  • Experience working with world-class multi-disciplinary teams, including both scientists and engineers (e.g. in a top-3 lab).

We are hiring individuals at all ranges of seniority and experience within the research unit, and this advert allows you to apply for any of the roles within this range.

Research problem selection:

  • Research science
  • Writing code efficiently
  • Python
  • Frontier model training knowledge
  • AI safety research knowledge
  • Learn through coaching

Chemistry or Biology

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