Software Engineer, Research Productivity

About the Position

We are looking for a Software Engineer, Research Productivity to join our team at Anthropic. Our mission is to create reliable, interpretable, and steerable AI systems. The Research Productivity organization builds the infrastructure and systems that accelerate research across Anthropic. We're looking for an experienced software engineer to join us as we scale this infrastructure at a moment when both demand and scope are growing extremely quickly.

Responsibilities

• Design, build, and scale infrastructure and systems that support rapidly increasing usage, where requirements and workload continue to evolve as the products built on top of them evolve.
• Independently scope and lead complex, multi-month engineering projects, from an ambiguous starting point through to a production system.
• Drive cross-organizational alignment on technical direction, working through ambiguous problem spaces with multiple stakeholders and teams.
• Make architectural decisions that shape the foundation of research infrastructure and tooling across Anthropic.
• Partner directly with researchers to deeply understand their workflows, then anticipate and design for how those needs will change.
• Iterate quickly, favoring pragmatic, first-principles solutions and fast feedback loops over heavy upfront design.
• Take ownership of the reliability and scalability of critical systems as load, usage, and complexity increase.
• Help set technical standards and best practices for the team, and mentor other engineers.

Requirements

• Experience designing, building, and operating large-scale distributed systems or infrastructure in production.
• A track record of independently scoping and delivering complex, ambiguous, multi-month technical projects.
• Strong software engineering fundamentals and hands-on coding ability.
• Experience making architectural decisions that other engineers and teams build on top of.
• Strong written and verbal communication skills, with experience driving alignment across multiple teams or stakeholders.
• Demonstrated ability to operate effectively in ambiguous, fast-changing environments.

Nice to Have

• Experience building infrastructure or platforms specifically for research or machine learning workflows.
• Direct experience navigating the reliability and architectural challenges that come with rapidly scaling systems.
• Experience with distributed systems, cloud infrastructure, and infrastructure-as-code.
• Familiarity with the compute, tooling, and workflow needs of large-scale machine learning research.
• Experience operating in a startup or startup-like environment, i.e. a small, fast-moving team with high autonomy.
• Prior experience as a technical lead or mentor for other engineers.

We Offer

• Competitive salary range: $405,000 - $625,000 USD annually.
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time.
• 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.

About the Company

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.

Locations

• San Francisco, CA
• New York City, NY

Apply

Interested candidates should apply with their resume/CV and a cover letter or any additional information they would like to share. Please ensure to provide either your LinkedIn profile or Resume, we require at least one of the two.