Job Description

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. About the Role As a societal impacts research scientist at Anthropic, you'll join a team conducting empirical research on AI's effects across society. You'll help develop and apply novel measurement systems to understand AI's real-world impact, while working to ensure these powerful technologies benefit humanity. Our team combines rigorous empirical methods with creative technical approaches. We’re currently grappling with big questions in three key areas on how AI might impact: the economy, peoples’ wellbeing, and education. Additionally, we are continuously studying socio-technical alignment (what values do our systems have?), and evaluating novel AI capabilities as they arise. We develop privacy-preserving tools to measure AI's effects at scale, conduct mixed-methods studies of human-AI interaction, and translate research insights into actionable recommendations for both product and policy. Note: We are only open to hiring in San Francisco for this team. Responsibilities Design and conduct empirical studies to understand AI's societal effects, ranging from large-scale quantitative analyses using privacy-preserving measurement systems (like Clio ) to qualitative investigations of human-AI interaction Develop novel methodological approaches for studying AI systems' real-world impacts, including creating new evaluation frameworks, measurement tools, and analysis techniques Lead research projects across our key focus areas: Economic impact: Studying how AI affects labor markets and the future of work Health & wellbeing: Investigating AI's effects on health and human relationships Education & epistemics: Examining AI's influence on learning and cognition Socio-technical alignment: Ensuring AI systems embody appropriate values and studying how these values relate to real-world behavior Technical evaluation: Assessing emerging AI capabilities and developing improved measurement methods Collaborate with cross-functional teams to translate research insights into concrete product improvements and policy campaigns Communicate findings through research publications, policy briefs, and presentations to diverse stakeholders Contribute to the development of measurement infrastructure and evaluation frameworks that enable systematic study of AI's societal effects You May Be a Good Fit If You Have Experience conducting empirical research on socio-technical systems, particularly studies that combine quantitative and qualitative methods Strong technical skills, including: Proficiency in Python, prompt engineering, and data science Experience building technical evaluations of AI systems Fine-tuning large language models A desire to do whatever it takes to get the research done, including writing code, debugging code, and pair programming with others Track record of leading research projects from conception to publication, including: Identifying important research questions Developing new methodological approaches when needed Effectively communicating findings to diverse audiences A desire to go above and beyond publications in order to translate research into real world impact Expertise in one or more of our focus areas (economics, health/wellbeing, education, alignment, evaluation methods) Comfort working with AI systems and ability to think critically about their capabilities and limitations Strong interest in ensuring AI development benefits humanity Ability to collaborate effectively with teams across technical research, policy, and product development For this role, we're open to candidates interested in either a 6-month research residency or a full-time position. The residency track includes the expectation of conversion to full-time for successful residents. Deadline to apply: None. Applications are reviewed on a rolling basis. 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 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 (Optional) Personal Preferences How do you pronounce your name? 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.) Please read the Clio blog post ( Based on the research areas we have outlined in the JD, write 1-3 paragraphs on a specific research question relevant to the Societal impacts team that you can use Clio to answer. * 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... Additional Information * Add a cover letter or anything else you want to share. Are you open to relocation for this role? * Select... What is the address from which you plan on working? If you would need to relocate, please type "relocating". Have you ever interviewed at Anthropic before? * Select... 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Disabilities include, but are not limited to: Alcohol or other substance use disorder (not currently using drugs illegally) Autoimmune disorder, for example, lupus, fibromyalgia, rheumatoid arthritis, HIV/AIDS Blind or low vision Cancer (past or present) Cardiovascular or heart disease Celiac disease Cerebral palsy Deaf or serious difficulty hearing Diabetes Disfigurement, for example, disfigurement caused by burns, wounds, accidents, or congenital disorders Epilepsy or other seizure disorder Gastrointestinal disorders, for example, Crohn's Disease, irritable bowel syndrome Intellectual or developmental disability Mental health conditions, for example, depression, bipolar disorder, anxiety disorder, schizophrenia, PTSD Missing limbs or partially missing limbs Mobility impairment, benefiting from the use of a wheelchair, scooter, walker, leg brace(s) and/or other supports Nervous system condition, for example, migraine headaches, Parkinson’s disease, multiple sclerosis (MS) Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities Partial or complete paralysis (any cause) Pulmonary or respiratory conditions, for example, tuberculosis, asthma, emphysema Short stature (dwarfism) Traumatic brain injury Disability Status Select... 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Full time, Contract work, For contractors, For subcontractor, Relocation, Visa sponsorship, Work visa, Flexible hours,

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