Anthropic
Software Engineer, Research Tools
$300K–$405K
San Francisco, CA +5 · Full-time · Posted Nov 7, 2025
- Location
- San Francisco, CA
New York City, NY
San Francisco, CA
New York City, NY
Seattle, WA
San Francisco, California, United States - Experience
- 5+ years of software engineering experience is listed as a fit criterion. Logistics state that required years correlate with internal job level requirements.
- Education
- Bachelor’s degree or an equivalent combination of education, training, and/or experience. Required field of study: a field relevant to the role, demonstrated through coursework, training, or professional experience.
- Visa sponsorship
- Visa sponsorship is available, but not for every role or candidate. If an offer is made, Anthropic will make every reasonable effort to obtain a visa and provides assistance from an immigration lawyer.
About the job
Build full-stack tools and infrastructure that help AI researchers run experiments, collect feedback, and analyze model behavior.
What you'll do
- Build and maintain research applications and infrastructure, including interfaces, experiment platforms, and visualization tools.
- Work with researchers to understand workflows and translate needs into solutions, iterating based on user feedback.
- Own product areas and contribute to technical strategy, architecture, and engineering practices.
What they ask for
- 5+ years of software engineering experience, with a strong focus on full-stack development.
- Experience building tools, platforms, or infrastructure for technical users.
- Proficiency with modern web technologies such as React, TypeScript, and Python.
- Ability to work independently in ambiguous settings and communicate effectively with technical and non-technical stakeholders.
Nice to have
- Experience building research tools, scientific software, or experimentation platforms.
- Experience with machine learning, AI research, data visualization, or leveraging AI/LLMs to build tools.
Pay
$300,000 — $405,000 USD (annual base salary)
Tools
React, TypeScript, Python
AI focus
Build tools that support AI safety and capability research, including human-feedback interfaces, experiment orchestration, model-behavior visualization, and sandboxed execution environments for AI-generated code. No ML or research experience is required.
Model-written summary · the original posting is authoritative