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    Research Engineers - London, United Kingdom - Anthropic

    Anthropic
    Anthropic London, United Kingdom

    3 weeks ago

    Default job background
    Description

    You want to build and run elegant and thorough machine learning experiments to help us understand and steer the behavior of powerful AI systems.

    You care about making AI helpful, honest, and harmless, and are interested in the ways that this could be challenging in the context of human-level capabilities.

    As a Research Engineer on Alignment Science, you'll contribute to exploratory experimental research on AI safety, with a focus on risks from powerful future systems (like those we would designate as ASL-3 or ASL-4 under our Responsible Scaling Policy ), often in collaboration with other teams including Interpretability, Fine-Tuning, and the Frontier Red Team.

    These papers give a simple overview of the topics the Alignment Science team works on:

    Sleeper Agents:

    Training Deceptive LLMs that Persist Through Safety Training , Studying Large Language Model Generalization with Influence Functions , Debating with More Persuasive LLMs Leads to More Truthful Answers , Language Models (Mostly) Know What They Know , Measuring Progress on Scalable Oversight for Large Language Models , Measuring Faithfulness in Chain-of-Thought Reasoning , Discovering Language Model Behaviors with Model-Written Evaluations .

    However, we remain open to any candidate who can meet the organisation's 25% in-person policy.


    Representative projects:

    Testing the robustness of our safety techniques by training language models to subvert our safety techniques, and seeing how effective they are at subverting our interventions.

    Contribute ideas, figures, and writing to research papers, blog posts, and talks.

    Run experiments that feed into key AI safety efforts at Anthropic, like the design and implementation of our Responsible Scaling Policy .

    Have significant software, ML, or research engineering experience
    Have some experience contributing to empirical AI research projects
    Have some familiarity with technical AI safety research
    Prefer fast-moving collaborative projects to extensive solo efforts
    Have experience authoring research papers in machine learning, NLP, or AI safety
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