Senior+ Software Engineer, Research Tools
Build full-stack tools and infrastructure for AI researchers to run experiments, collect feedback, and analyze models. Requires 5+ years full-stack experience, high agency, and proficiency in React, TypeScript, Python.
About the job
Responsibilities
- 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 you
- 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 can identify the right problems to solve
- Are proficient with modern web technologies (React, TypeScript, Python, etc.)
- Have a track record of building user-facing applications that are actually used and loved by their target audience
- Communicate effectively with both technical and non-technical stakeholders
- Care about the societal impacts of your work and are motivated by Anthropic's mission
Strong candidates may also have
- Experience building research tools, scientific software, or experimentation platforms
- Background in machine learning, AI research, or working closely with ML researchers
- Founded or been an early engineer at a startup, particularly one focused on developer or researcher tools
- Built open-source tools or platforms with active user communities
- Experience with data visualization, interactive interfaces, or novel interaction paradigms
- Contributed to engineering platforms or internal tooling at scale (similar to Heroku, Vercel, or other platform-as-a-service products)
- Experience leveraging AI/LLMs to build more powerful or efficient tools
- Previous work in creative tools, artist tools, or other domains requiring deep user empathy
- Domain knowledge in areas like human-computer interaction, systems safety, or AI alignment
Representative projects
- Building interfaces for collecting and managing human feedback on model outputs at scale
- Creating experiment orchestration platforms that make it easy to launch, monitor, and analyze complex research runs
- Developing visualization tools that help researchers understand model behavior and identify failure modes
- Designing reusable components and frameworks that enable rapid development of new research applications
- Building sandboxed execution environments for safely running AI-generated code
Skills
React, TypeScript, Python, Full-Stack Development, Data Visualization
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