Research Operations, Discovery

About Anthropic

Anthropics 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 Team

Our team is organized around the north star goal of building an AI scientista system capable of solving the long-term reasoning challenges and basic capabilities necessary to push the scientific frontier.

About the Role

Were seeking a Science Research Operations team member to build and own the operational infrastructure that keeps our research organization running at full speed. Our science teams are working on some of the hardest and most consequential problems in AItraining large-scale models running complex experiments and building novel products at the frontier. What makes that possible isnt just talent: its the coordination systems and programs that let researchers spend their time on the science rather than the overhead around it.

This role sits at the intersection of research operations technical program management and product strategy. Youll work directly with research scientists and research engineers doing a mix of tasks including running research partnerships managing complex internal programs and helping run the teams day-to-day operations. Youll also contribute to science product developmenthelping translate research directions into product strategy and ensuring our production deployment environments reflect our best configurations.

This is not a pure coordination role. The best candidates will engage substantively with what the team is building have a role in determining our strategy spot problems before they surface and bring genuine ownership to the systems and programs they run.

Responsibilities:

• Build and manage custom expert contractor networks sourcing domain specialists for eval and training data work that requires expertise beyond standard channels
• Run research partnerships with external partners from scoping through delivery
• Provide end-to-end TPM support for major research pushescoordinating across teams tracking dependencies and keeping stakeholders aligned
• Ensure that our research progress is complemented by products that enable scientists to make maximal use of model capabilities.
• Support recruiting efforts.
• Coordinate external communications for the team including supporting blog posts and preparing public-facing materials
• Partner with product teams to contribute to science product strategy product design and novel product integrations where research and product intersect
• Own team logistics including onboarding coordination team events and operational programs that improve team efficiency

You may be a good fit if you:

• Have experience in research operations technical program management or a related role in a fast-moving technical environment
• Can context-switch fluidly between operational work (logistics tracking coordination) and higher-order work (strategy partnerships product thinking)
• Have a technical background with experience in software development machine learning or biology R&D.
• Are comfortable working directly with research scientists and engineersyou ask good questions you dont need things explained twice and you know when to escalate vs. when to handle it yourself
• Have a track record of building systems and processes from scratch rather than inheriting them
• Bring strong written communication skills and can represent the team accurately in external-facing materials
• Have managed contractors or external partners before including scoping work tracking delivery and ensuring quality
• Are results-oriented with a bias toward flexibility and impact
• Thrive in ambiguous fast-moving environments where priorities shift and no two weeks look the same

Strong candidates may also have:

• Direct experience sourcing and managing expert contractor networks particularly in technical or scientific domains
• Familiarity with ML research workflowstraining runs evaluations data pipelinesand what makes them succeed or stall
• Experience contributing to product development or product strategy not just operations

This role offers a rare opportunity to have broad impact on a research organization working at the frontier of AI. Youll be a key part of how ambitious science gets donenot just facilitating it but shaping the programs products and infrastructure that make it possible. If youre energized by high-ownership work at the intersection of operations and research wed love to hear from you.

Deadline to apply: None. Applications will be reviewed on a rolling basis.

Logistics

Minimum education: Bachelors 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 arent 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 youre interested in this work. We think AI systems like the ones were 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 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 youre ever unsure about a communication dont click any linksvisit for confirmed position openings.

How were 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. Were 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 aboutour policyfor using AI in our application process