EVALS Member Of The Technical Staff - London - COL Limited

    COL Limited
    COL Limited London

    2 days ago

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    Description

    About the Role

    We're looking for research scientists, research engineers, and software engineers who are excited to work on these and similar projects. We intend to hire people with a broad range of experience and encourage applications even if you don't yet have experience in any of our current team efforts.

    We welcome applicants of all ethnicities, genders, sexes, ages, abilities, religions, sexual orientations, regardless of pregnancy or maternity, marital status, or gender reassignment.

    Key Responsibilities

    • Conceptual work on safety cases for scheming, including evaluation-based safety cases for scheming.
    • Building evaluations for scheming-related properties, such as situational awareness or deceptive reasoning.
    • Conducting evaluations on frontier models and publishing the results either to the general public or a target audience such as AI developers or governments.
    • Creating model organisms and demonstrations of behavior related to deceptive alignment, e.g., exploring the influence of goal-directedness on scheming.
    • Designing and evaluating AI control protocols.
    • Building a high-quality software stack to support all of these efforts.

    Requirements

    • Large Language Model (LLM) steering skills, including prompting, LM agents & scaffolding, fluent LLM usage, supervised fine-tuning, and RL(HF/AIF).
    • Software engineering skills, including developing APIs, data science, system design, data engineering, and front-end development.
    • Generalist skills, including the ability to acquire new skills rapidly and focus on results.
    • Empirical research experience, including designing and executing experiments, writing up and communicating findings, and working with LLMs.
    • A scientific mindset, including keeping track of potential alternative explanations for findings and proposing and testing these hypotheses in new experiments.
    • Values, including thriving in a collaborative environment and being results-oriented.

    Logistics

    • Start Date: Target of March/April 2025
    • Time Allocation: Full-time
    • Location: The office is in London, and the building is shared with the London Initiative for Safe AI (LISA) offices. This is an in-person role. In rare situations, we may consider partially remote arrangements on a case-by-case basis.
    • Work Visas: We can sponsor UK visas

    Benefits

    • Salary: a competitive UK-based salary
    • Flexible work hours and schedule
    • Unlimited vacation
    • Unlimited sick leave
    • Lunch, dinner, and snacks are provided for all employees on workdays
    • Paid work trips, including staff retreats, business trips, and relevant conferences
    • A yearly $1,000 (USD) professional development budget


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