Job Description

Research Scientist, Frontier Red Team (CBRN, Biosecurity) About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. This team will intensively red-team models to test the most significant risks they might be capable of in areas such as biosecurity, cybersecurity risks, or autonomy. We believe that clear demonstrations can significantly advance technical research and mitigations, as well as identify effective policy interventions to promote and incentivize safety. As part of this team, you will lead research to baseline current models and test whether future frontier capabilities could cause significant harm. Day-to-day, you may decide you need to finetune a model to see whether it becomes superhuman in an eval you’ve designed; whiteboard a threat model with a national security expert; test a new training procedure or how a model uses a tool; or brief government, labs, and other research teams. Our goal is to see the frontier before we get there. Our CBRN workstream is hiring for a Research Scientist, with an emphasis on biosecurity risks (as outlined in our Responsible Scaling Policy ). By nature, this team will be an unusual combination of backgrounds. We are particularly looking for people with experience in these domains: Biosecurity: You're a biologist who's concerned about the implications of AI development. You're an academic who researches biosecurity defense. You have experience modeling biological phenomena or developing advanced threat modeling simulations. Science: You’re an ML researcher who builds agents to augment chemistry or biology research. You’ve built a protein language model and you enjoyed looking through the embedding space. You’re a team lead at an ML-for-drug discovery company. You’ve built software for astronauts or materials scientists. Evaluations: You’ve managed a large-scale benchmark development project, in AI or other domains. You have ideas about how AI and ML evaluations can be better. Do not rule yourself out if you do not fit one of those categories - it’s plausible the people we’re looking for do not fit any of the above! If you think about the most significant upsides and downsides of AI, and you can do good research to get glimpses of what those look like, please consider applying. Please note: We will only be considering candidates who can be based in the Bay Area for this role. We have a strong preference for candidates who can start ASAP, and ideally by May 2025. Responsibilities Independently lead research projects while collaborating with team members on larger initiatives Design, run, and analyze scientific experiments to advance our understanding of large language models Work with external partners to develop novel evaluations to accurately assess the biosecurity implications of our models Partner closely with researchers, data scientists, policy experts, and other cross-functional partners to advance Anthropic’s safety mission Communicate our findings to external stakeholders, such as policymakers You may be a good fit if you Have one of: An advanced degree (MS or PhD) in the biological sciences (Molecular Biology, Computational Biology, Bioengineering) Significant professional experience in biology research (including wet-lab) Take pride in writing clean, well-documented code in Python that others can build upon Have a track record of using technical infrastructure to interface effectively with machine learning models Have familiarity with prompting and engineering large language models Are able to balance research goals with practical engineering constraints Have strong problem-solving skills and a results-oriented mindset Have excellent communication skills and ability to work in a collaborative environment Pick up slack, even if it goes outside your job description Prefer fast-moving collaborative projects to extensive solo efforts Care about the societal impacts of AI Strong candidates may also have experience with Wet lab experience in molecular biology Leading large projects with multiple external collaborators or stakeholders Developing evaluations or benchmarks for large language models Emerging technology policy, including in biosecurity or AI Representative projects Design and implement a new evaluation to test models for CBRN risks Develop a detailed threat model of CBRN risks, and identify how core bottlenecks can be resolved from further evaluations Prepare briefing materials to share the results of an evaluation run with external research groups The expected salary range for this position is: $280,000 - $425,000 USD Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. 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. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different 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. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. 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. 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. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. 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. Apply for this job * indicates a required field First Name * Last Name * Email * Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf (Optional) Personal Preferences * How do you pronounce your name? LinkedIn Profile Please ensure to provide either your LinkedIn profile or Resume, we require at least one of the two. Website Publications (e.g. Google Scholar) URL Are you open to working in-person in one of our offices 25% of the time? * Select... When is the earliest you would want to start working with us? Do you have any deadlines or timeline considerations we should be aware of? AI Policy for Application * Select... While we encourage people to use AI systems during their role to help them work faster and more effectively, please do not use AI assistants during the application process. We want to understand your personal interest in Anthropic without mediation through an AI system, and we also want to evaluate your non-AI-assisted communication skills. Please indicate 'Yes' if you have read and agree. Why Anthropic? * Why do you want to work at Anthropic? (We value this response highly - great answers are often 200-400 words.) Based on the types of biosecurity risks that the Frontier Red Team prioritizes (as outlined in our RSP), can you provide an example of a project the team should do that is in line with its mission? * Do you have any biology-related experience (computational biology, molecular biology, bioengineering, bioinformatics, etc.)? Select... What’s your ideal breakdown of your time in a working week, in terms of hours or % per week spent on meetings, coding/running evals, reading papers, etc.? * Will you now or will you in the future require employment visa sponsorship to work in the country in which the job you're applying for is located? * Select... Do you require visa sponsorship? * Select... We are only hiring for the San Francisco office at this time. Will you be able to be based in the Bay Area and work from the office at least 2 days a week? * Select... If you are not already based here, are you open to relocation for this role? Additional Information Add a cover letter or anything else you want to share. Have you ever interviewed at Anthropic before? * Select... Voluntary Self-Identification For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file. As set forth in Anthropic’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law. If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows: A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability. 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Contract work, For contractors, For subcontractor, Immediate start, Relocation, Visa sponsorship, Work visa, Flexible hours, 2 days per week,

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