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Anthropic

Builds Claude AI models with a focus on safety

Software Engineer - Research Productivity

Software EngineeringConfirmed live in the last 24 hours
Full-time$405k - $625k /yr

About the Job

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.

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.

Desired Qualifications

  • 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.

About the Company

Anthropic

Builds Claude AI models with a focus on safety

Anthropic builds the Claude family of AI models and sells them to businesses, software developers, and consumers, with research on making AI safe and understandable at the center of its work. In 2024 it introduced the Model Context Protocol, an open standard for connecting AI assistants to outside apps and data that OpenAI and Google adopted the next year. People use the Claude app to write and analyze files, programmers hand coding tasks to Claude Code, and companies build Claude into their own products through its API. Anthropic earns money from subscriptions, business plans, and usage-based API fees. Siblings Dario and Daniela Amodei founded Anthropic in 2021 with other former OpenAI employees, and it is based in San Francisco.

Company size
5,001-10,000
Company stage
N/A
Total funding
$243.8B
Headquarters
San Francisco, CA
Founded
2021

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