Software Engineer, Labs

About Anthropic

Anthropics mission is to create reliable interpretable and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers engineers policy experts and business leaders working together to build beneficial AI systems.

About the role

At Anthropic were building AI systems that are safe beneficial and transformative. Our mission is to develop AI that benefits humanity and we believe the most powerful capabilities emerge when we thoughtfully bridge the gap between research breakthroughs and real-world applications.

Anthropic Labs serves as our internal accelerator. Were looking for the next breakout hits that bring substantial revenue or transform an industry. We operate in close partnership with research and build through fast iteration cycles. Past successes include Claude Code and MCP.

Were seeking versatile entrepreneurial engineers to join this role youll 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 Anthropics product future. Youll 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.

Responsibilities

• 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 opportunitiescontext from one project should inform the next

You may be a good fit if you

• 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 uncertaintyyoure 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 its the right tradeoff

• Are deeply user-centricyou 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 looselyyou 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 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

Strong candidates may also have

• 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 were not looking for at this stage

• Deep specialists who cant adapt if their domain becomes irrelevant

• Engineers whove only succeeded in big-company structures with well-defined processes and long timelines

• People who are precious about their work or frame all past projects as successes

• Those who need clear roadmaps and get stressed by shifting priorities

Candidates need not have

• 100% of the skills listed above

• Formal certifications or education credentials

• Direct machine learning or AI research experience

Deadline to apply: None. Applications will be reviewed on a rolling basis.

Logistics

Education requirements: We require at least a Bachelors degree in a related field or equivalent experience.

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 arent 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.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy so we urge you not to exclude yourself prematurely and to submit an application if youre interested in this work. We think AI systems like the ones were building have enormous social and ethical implications. We think this makes representation even more important and we strive to include a range of diverse perspectives on our team.

How were different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact advancing our long-term goals of steerable trustworthy AI rather than work on smaller and more specific puzzles. We view AI research as an empirical science which has as much in common with physics and biology as with traditional efforts in computer science. Were an extremely collaborative group and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic including: GPT-3 Circuit-Based Interpretability Multimodal Neurons Scaling Laws AI & Compute Concrete Problems in AI Safety and Learning from Human Preferences.

Come work with us!

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 aboutour policyfor using AI in our application process