Senior+ Software Engineer, Research Tools

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