About Anthropic

Anthropic’s 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

Claude.ai is Anthropic's flagship consumer product, spanning web, mobile, desktop, and browser extensions—and it's growing fast. The UI Platform team owns the foundational layer that makes Claude usable for every person who relies on it: the shared components, primitives, automated testing, and tooling that let every other product team at Anthropic ship accessible experiences quickly, reliably, and with confidence.

As a Software Engineer on this team, you'll be hands-on designing and shipping accessible shared components and design-system-level abstractions, building the automated accessibility testing layer that catches regressions across surfaces, and improving the build, deploy, and testing systems that keep Claude.ai conformant across surfaces. Your work will directly shape how fast teams across Anthropic can ship accessibly—and how reliable their experiences are for users who rely on assistive technology. As we innovate new Claude products, we have an opportunity to lead the field in designing them in an accessible way.

This is a great fit if you care deeply about accessibility and want your engineering work to have outsized leverage: instead of shipping one feature, you're building the tools and systems that make every feature accessible.

Responsibilities

• Shape the definition of how AI products should be accessible
• Design and publish accessible component primitives, libraries, and abstractions used across Anthropic's web and mobile surfaces
• Integrate accessibility into product workflows so standards are met by default rather than retroactively remediated
• Develop automated testing and agentic scanning infrastructure that catches accessibility regressions across surfaces
• Partner with product teams to resolve accessibility issues and prioritize the most impactful work
• Maintain documentation and tooling that make accessible engineering approachable

You may be a good fit if you

• Have 7+ years of software engineering experience, with significant time spent building accessible products, shared platforms, or developer tools that other engineers rely on
• Have strong practical skills in modern web technologies (React, TypeScript or comparable frameworks)
• Have hands-on familiarity with WCAG 2.2 AA, ARIA Authoring Practices, and HTML semantics
• Have experience testing with assistive technology — screen readers (VoiceOver, NVDA, JAWS, TalkBack), keyboard-only navigation, magnification, voice control
• Care about developer experience and have a track record of building things that make other engineers more productive
• Have solid instincts around accessibility, reliability, and quality—and enjoy operationalizing those instincts in production systems
• Thrive in fast-paced, collaborative environments and enjoy working closely with cross-functional partners
• Pick up slack, even if it goes outside your job description

Strong candidates may also have experience with

• Building shared component libraries, design systems or reusable UI infrastructure
• Accessibility testing — automated, manual, or with assistive technology such as screen readers
• Streaming or real-time UI accessibility — live regions, dynamic content, queueing announcements under assistive tech
• Native platform accessibility on iOS, Android, macOS, or Windows
• CI/CD, build systems, and/or deployment automation
• Working with WCAG standards and producing or consuming Accessibility Conformance Reports

Candidates need not have

• 100% of the skills needed to perform the job
• Formal certifications or education credentials

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.

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 you're interested in this work. We think AI systems like the ones we're 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 from @anthropic.com email addresses. In 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 you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're 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. We're 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 about our policy for using AI in our application process.