Software Engineer, Labs
Anthropic · San Francisco, CA | New York City, NY | Seattle, WA · Engineering & Design - Product · listed December 8, 2025
The shape of it
Seniority
Senior
Experience asked
8+ years
Where
Hybrid
Stated pay
$320,000 – $485,000 USD
Requirements listed
14
Length
1,677 words
In the posting’s own words
We're seeking versatile, entrepreneurial engineers to join Labs. In this role, you'll work at the intersection of cutting-edge research and real-world application, rapidly building and testing new experiences, working directly with researchers and users, and generating the insights that shape Anthropic's product future. You'll need to be comfortable with ambiguity, willing to kill your own projects when the data says to, and energized by the pace of building in uncharted territory.
What it asks for · 14
- Have 8+ years of experience building full-stack applications, with a track record of zero-to-one work in startup or startup-like environments
- Thrive in ambiguity and are energized (not anxious) by uncertainty—you're comfortable working on projects that might not exist in three months
- Have a hacker mentality: high agency, bias toward shipping, comfort with technical debt when it's the right tradeoff
- Are deeply user-centric—you validate ideas with actual users before over-investing and talk about problems before solutions
- Can articulate learnings from failed or killed projects without defensiveness; you treat your work as experiments
- Hold strong opinions loosely—you advocate forcefully for ideas but change your mind based on evidence
- Are a generalist who can transition between different problem spaces as priorities shift
- Work independently with good judgment about what matters, without needing constant direction
- Have strong technical skills across modern web development stacks (React, Node.js, Python, etc.) and are comfortable with APIs, databases, and cloud technologies
- Communicate effectively and translate complex AI capabilities into intuitive experiences
- Care about the societal impacts and ethics of your work
- 100% of the skills listed above
- Formal certifications or education credentials
- Direct machine learning or AI research experience
Also a plus
- Experience building products that involve AI/ML components or working with large language models
- Experience collaborating directly with research teams in AI/ML environments
- Background conducting user research, interviews, and usability testing
- Experience across both B2B and B2C product development, or in multiple industries
- Design sensibility or hands-on experience with UI/UX for AI-powered applications
- Experience with real-time applications, WebSocket implementations, or complex frontend interactions
What the job covers
- Rapidly prototype full-stack applications that showcase emerging AI capabilities, shipping early and often to maximize learning
- Collaborate closely with research teams to understand new model capabilities and translate them into intuitive user experiences
- Work directly with internal test users and external partners to gather feedback, iterate quickly, and validate (or invalidate) product concepts
- Design and run structured experiments to test hypotheses, balancing creative exploration with rigorous evaluation
- Generate documentation and insights to guide successful prototypes toward full product teams
- Advocate for user experience and product considerations early in the research process
- Provide feedback to research teams about model effectiveness and where capabilities can be improved
- Flexibly contribute across Labs initiatives based on organizational priorities and emerging opportunities—context from one project should inform the next
Tools and skills named
Models & research
- Machine learning6×
- LLM2×
Frameworks
- Node.js4×
- React2×
Product & design
- User experience4×
- User research2×
Ways of working
- Testing3×
- Technical writing2×
Languages
- JavaScript2×
- Python2×
Words the posting leans on
- experience21×
- research15×
- product11×
- user11×
- applications9×
- capabilities9×
- projects9×
- building7×
- learning6×
- model6×
- priorities6×
- comfortable5×
- directly5×
- advocate4×
- ai/ml4×
- complex4×
Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.
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