Software Engineer, Research Tools

Anthropic; San Francisco (CA); On-site; USD 150,000 - 190,000; Full time

Job summary

Anthropic Limited in San Francisco is seeking a Software Engineer for the Research Tools team. You will build infrastructure and full-stack applications that empower researchers to run experiments and extract insights from frontier AI systems.

You will collaborate with researchers and engineers to understand workflows, identify bottlenecks, and ship solutions that accelerate productively. This role demands strong autonomy in ambiguous environments and a passion for usable tooling.

Qualifications

• 5+ years of software engineering with a strong full-stack focus.
• Experience building tools or infrastructure for engineers and researchers.
• Ability to operate with high agency in ambiguous environments.

Responsibilities

• Build and maintain full-stack applications and infrastructure used to run experiments.
• Collaborate with research teams to translate workflows into technical solutions.
• Design intuitive interfaces and abstractions for complex research tasks.
• Prototype and iterate rapidly based on user feedback.
• Drive architectural decisions for research tooling and mentor engineers.

Skills

Full-stack development

Rapid iteration

Software engineering

Research tooling

Job description

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 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 Role

Anthropic's research teams are pushing the boundaries of AI safety and capability research, and they need exceptional tools to do their best work. As a Software Engineer on the Research Tools team, you'll build the infrastructure and applications that enable our researchers to iterate quickly, run complex experiments, and extract insights from frontier AI systems.

This role sits at the intersection of product thinking and full-stack engineering. You'll work directly with researchers and engineers to deeply understand their workflows, identify bottlenecks, and rapidly ship solutions that multiply their productivity. Whether you're building human feedback interfaces for model evaluation, creating platforms for experiment orchestration, or developing novel visualization tools for understanding model behavior, your work will directly accelerate our mission to build safe, reliable AI systems.

We're looking for someone who can operate with high agency in an ambiguous environment—someone who can be dropped into a research team, quickly develop domain expertise, and independently drive impactful projects from conception to delivery.

Responsibilities

No ML or Research experience is required

• Build and maintain full-stack applications and infrastructure that researchers use daily to conduct experiments, collect feedback, and analyze results
• Partner closely with research teams to understand their workflows, pain points, and requirements, translating these into technical solutions
• Design intuitive interfaces and abstractions that make complex research tasks accessible and efficient
• Create reusable platforms and tools that accelerate the development of new research applications
• Rapidly prototype and iterate on solutions, gathering feedback from users and refining based on real-world usage
• Take ownership of complete product areas, from understanding user needs through design, implementation, and ongoing iteration
• Contribute to technical strategy and architectural decisions for research tooling
• Mentor other engineers and help establish best practices for research application development

You may be a good fit if

• Have 5+ years of software engineering experience with a strong focus on full-stack development
• Excel at rapid iteration and shipping—you can move from concept to working prototype quickly
• Have experience building tools, platforms, or infrastructure for technical users (engineers, researchers, data scientists, analysts, etc.)
• Demonstrate high agency and ability to operate independently in ambiguous environments
• Can quickly develop deep understanding of complex technical domains
• Have strong product instincts and