Product Engineer, Computer Use

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

The Computer Use team teaches Claude to see and operate computer interfaces and builds the agent harness and end-user products that turn that capability into real tools. The team sits inside Anthropics research organization and closes the loop between product and model.

As a Product Engineer on this team youll own end-to-end delivery of our computer-use and browser-control product surfaces. Youll build across the full stack from the user interface to the agent runtime to the backend services behind it. Youll work directly alongside researchers with no layers between you and the model or the user.

This is a dynamic role in which priorities evolve frequently. Success depends on a high tolerance for ambiguity the adaptability to shift focus as needs change and the agility and discernment to continuously prioritize the highest impact work.

Key responsibilities

• Own end-to-end delivery of computer-use and browser-control product surfaces: scope build ship measure and iterate

• Diagnose and resolve reliability and robustness issues in the computer-use agent harness that block real-world usage

• Partner with computer-use researchers

• Partner with the Claude Cowork team on shared surfaces integrations and knowledge-worker workflows

• Instrument products and use usage data to drive prioritization and measure progress

• Translate fuzzy user pain points into concrete shippable features for knowledge workers

Minimum qualifications

• Experience building and shipping a product from zero to one with end-to-end ownership as a founding or early engineer at a startup or with equivalent ownership inside a larger company

• Strong full-stack engineering skills including production web frontend and backend development

• Hands-on experience building with LLM APIs prompting or agent frameworks

• A track record of shipping to external users and iterating based on their feedback

Preferred qualifications

• Strong product design instincts and the ability to produce a clean usable interface without a dedicated designer

• Experience with browser automation desktop automation or robotic process automation systems

• Experience building evals or quality harnesses for machine learning systems

• Comfort with lightweight data analysis such as SQL notebooks and defining and tracking product metrics

• Experience designing agent loops tool integrations or guardrails for LLM-based systems

Representative projects

• Own and resolve the top reliability and robustness issues on the computer-control and browser-control product surfaces with measurable improvement in task success rate

• Take a net-new computer-use powered workflow from concept to external users including instrumentation and a readout on usage

Logistics

Minimum education: Bachelors 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 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.

Your safety matters to us. To protect yourself from potential scams remember that Anthropic recruiters only contact you some cases we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money fees or banking information before your first day. If youre ever unsure about a communication dont click any linksvisit for confirmed position openings.

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 policy for using AI in our application process.