AI Safety Researcher

1 day ago


London, Greater London, United Kingdom AI Safety Institute Full time
About the Role

We are seeking a highly skilled Research Scientist to join our Post-Training Team at the AI Safety Institute. The successful candidate will use cutting-edge machine learning techniques to improve model performance in our domains of interest. This includes developing and optimizing large language models (LLMs) for various applications, such as cybersecurity, chemistry, and biology.

The role is split into two sub-teams: Agents and Finetuning. Our Agents sub-team focuses on developing the tools and scaffolding to create highly capable LLM-based agents, while our Finetuning Team builds out finetuning pipelines to improve models on our domains of interest. As a member of this team, you will be responsible for designing new techniques for scaling inference-time computation, developing methodologies for in-depth analysis of agent behavior, implementing new tools for our LLM agents, and creating pipelines for supporting and fine-tuning large open-source models.

You will receive mentorship and coaching from your manager and the technical leads on your team, and regularly interact with world-class researchers and other exceptional staff, including alumni from Anthropic, DeepMind, and OpenAI. In addition to junior roles, we offer Senior, Staff, and Principal Research Engineer positions for candidates with the requisite seniority and experience. An estimated salary for this role is £85,000 - £95,000 per annum.

Key Responsibilities
  • Develop and optimize LLMs for various applications, such as cybersecurity, chemistry, and biology.
  • Design new techniques for scaling inference-time computation.
  • Develop methodologies for in-depth analysis of agent behavior.
  • Implement new tools for our LLM agents.
  • Create pipelines for supporting and fine-tuning large open-source models.


Requirements
  • PhD in a technical field and/or papers at top ML conferences.
  • Experience with machine learning engineering or software engineering with relevant skills/knowledge in machine learning.
  • Ability to work autonomously and in a self-directed way with high agency, thriving in a constantly changing environment and a steadily growing team.


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