Software Engineer, Research Tools

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.

No ML or Research experience is required

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

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:

$300,000—$405,000 USD

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

How we're different

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.