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.
About the Anthropic Institute
The Anthropic Institute is a new externally-facing function within Anthropic whose job is to benefit the public by giving the world new information about how the powerful AI systems we build are affecting our own company, as well as the broader economy, threat landscape, and the people and organizations that interact with our systems.
The Anthropic Institute will generate and release information about four highly societally relevant challenge areas. These are:
- How our AI systems change jobs here and elsewhere, and the economy writ large
- How the expressed personality and values and normative behaviors of our AI systems affect the people, organizations, and societies that interact with them.
- How “closing the loop” on AI development leads to a fundamental shift in the relationship between humans and machines, both by changing how we build AI systems, and also by making AI systems potentially evolve much faster.
- Altering the defensive and offensive capabilities available to us and people in the world, with significant impacts on national security and the balance of power.
About the role
As a Member of Analytical Staff for The Anthropic Institute, you’ll spend your time researching how Anthropic is tackling the challenges the Institute is focused on, synthesizing what you learn from across the organization, and turning that into rigorous analysis that shapes both internal decisions and public understanding.
You’ll be talking to colleagues all over Anthropic—building a picture of how different teams are approaching some of the most consequential questions in AI—and then helping the Institute communicate that work and its implications to the world. You will use Claude aggressively, creatively, and daily, to help you surface insights about what Anthropic is doing with regard to these problem areas.
Some representative projects we can imagine working on include:
- Clearly explaining the implications of automating AI research with AI systems.
- Convening outside and internal experts to generate policy options a government may want to utilize if GDP growth rates in developed economies exceed 10% a year.
- Learning from our customers about how using AI technology has changed their own organizations and then turning that into lessons which others can benefit from.
- Asking and prototyping how the regulation of AI companies and AI systems could be done via AI systems themselves.
You’ll also conduct your own research in these areas, working to utilize the AI systems you have access to at Anthropic as well as your colleagues to sharpen and improve your thinking.
What you'll do
- Research how Anthropic’s teams are working on the Institute’s challenges and synthesize findings from across the organization into a coherent picture.
- Partner with teams to help them surface their insights to the world, often working to act as the ‘connective tissue’ between them and other teams to bring different insights together.
- Produce written analysis and memos about how Anthropic is approaching these problems—for both internal leadership and public audiences.
- Partner with relevant teams to develop and publish public outputs.
- Come up with creative ways to carry our work into the world: sometimes the most impactful way to talk about an issue is through a technical demonstration rather than a blog post or research paper (e.g, Golden Gate Claude, Project Vend, Robodog).
Who we're looking for
- 7+ years of experience in technical policy research, think tank work, or applied research in a domain relevant to the Institute's focus areas (AI, labor economics, national security, or emerging technology governance).
- Track record of publishing or producing work for external audiences—whether policy memos, research reports, white papers, or public-facing analysis.
- Comfort operating at the intersection of technical and policy audiences. You don't need to be an ML researcher, but you can read technical work, ask good questions of the people who produce it, and translate findings accurately for non-technical stakeholders without losing the nuance.
- Demonstrated ability to synthesize across disciplines and bodies of work. You've produced analysis that draws on economics, political science, technology, or organizational behavior—not siloed in one field.
- Deep experience using Claude as a tool for research and organizational knowledge-gathering.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:$295,000—$345,000 USDLogistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
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.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
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. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.