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    Scientist Full-time - San Francisco, CA, United States - Karkidi

    Karkidi
    Karkidi San Francisco, CA, United States

    2 weeks ago

    Default job background
    Full time
    Description

    As a societal impacts research scientist, you'll devise new ways to measure and assess Anthropic systems for societally or policy-relevant traits and capabilities, and will discuss what we discover in our research publications and policy campaigns.

    Strong candidates will have a track record of running experiments relating to machine learning systems, working in a fast-paced startup environment, and an eagerness to develop their own technical skills so they can best interface with our systems.

    The ideal candidate will enjoy a mixture of running experiments and doing research, developing new tools and evaluation suites, and evangelizing this and other work to key stakeholders and communities.

    Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

    to developing comprehensive suites of tests we can run complicated systems through (such as developing ways to evaluate the broad capabilities displayed by modern language models).

    Partnering closely with our other researchers to fully understand, analyze and evaluate state-of-the-art research across a broad range of capabilities and safety research.

    Interfacing with, providing feedback on and publicly communicating about our internal technical infrastructure and tools, with a goal of them better supporting the societal impact analysis of AI systems.

    Working with the policy and other research teams to share these tools to the above stakeholders and incorporating their feedback and requests.

    Sharing your insights from your work by contributing to Anthropic research publications, giving presentations to external groups, and partnering with our policy team to articulate insights to governments.

    Generating net-new insights about the potential societal impact of systems being developed by Anthropic, and using this understanding to inform Anthropic strategy, research and policy campaigns.

    You have experience assessing machine learning models for unknown traits within known capabilities (for instance, assessing the outputs of a generative model to discover what parts of a dataset are being magnified and minimized).

    You enjoy and are skilled at writing up and communicating your results, even when they're null.
    You're comfortable creating your own research agenda and executing against it.

    You find it exciting to partner with colleagues on 'big science' projects, where the whole company works to build one AI artefact and then analyze it.

    You have a prior background in data science, or another technical field which involves interfacing with technical artefacts and generating insights about them.

    You're passionate about communicating the insights from your research to external stakeholders, ranging from academics to policymakers to other research labs.

    You have an interest in AI policy; this role offers the chance to partner with Anthropic policy to turn your research insights into actionable recommendations for governments.

    Red Teaming Language Models to

    Reduce Harms:
    Methods, Scaling Behaviors, and Lessons Learned
    The Capacity for Moral Self-Correction in Large Language Models
    Opportunities and Risks of LLMs for Scalable Deliberation with Polis
    Towards Measuring the Representation of Subjective Global Opinions in Language Models

    Collective Constitutional AI:
    Aligning a Language Model with Public Input
    Language models might be able to self-correct biases—if you ask them [Wired]

    Red team data — used to make open source models, e.g., For this role, we are open to a 6-month residency at Anthropic (with the opportunity to convert to full-time after).

    Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant.
    ~ Comprehensive health, dental, and vision insurance for you and all your dependents.
    ~Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more
    ~ Stipends for education, home office improvements, commuting, and wellness.
    ~ Daily lunches and snacks in our office.
    ~ Relocation support for those moving to the Bay Area.

    The level of pay within the range will depend on a variety of job-related factors, including where you place on our internal performance ladders, which is based on factors including past work experience, relevant education, and performance on our interviews or in a work trial.

    Applications will be reviewed on a rolling basis.

    Hybrid policy:

    For this role, we prefer candidates who are able to be in our office more than 25% of the time, though we encourage you to apply even if you don't think you will be able to do that.

    Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

    We think AI systems like the ones we're building have enormous social and ethical implications. Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant.
    ~ Comprehensive health, dental, and vision insurance for you and all your dependents.
    ~Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more
    ~ Stipends for education, home office improvements, commuting, and wellness.
    ~ Daily lunches and snacks in our office.
    ~ Relocation support for those moving to the Bay Area.

    The level of pay within the range will depend on a variety of job-related factors, including where you place on our internal performance ladders, which is based on factors including past work experience, relevant education, and performance on our interviews or in a work trial.

    We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts.

    We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science.

    We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time.

    As such, we greatly value communication skills.

    We're trying to build a core of knowledge and intuition about the most robustly effective innovations in AI, and so thoroughly-documented null results are almost as valuable as positive discoveries.

    We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed.

    The easiest way to understand our research directions is to read our recent research.

    This research continues many of the directions our team worked on prior to Anthropic, including:

    GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

    We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

    #
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