Software Engineer, TypeScript
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:
At Anthropic, we believe new AI capabilities are best achieved through secure foundations, not in spite of them. As capabilities grow more advanced, it is critical that progress moves forward safely and for the benefit of all society. It is the reason why security sits at the center of our work, and not as an afterthought.
We're specifically looking for a Software Engineer who can take ownership of developer experience and infrastructure for a complex TypeScript project. This role will focus on making our development process more efficient, reliable, and enjoyable while maintaining high quality and security standards.
About Anthropic Labs:
Anthropic Labs serves as an internal accelerator tasked with bridging the gap between research and product development. Our mandate is to identify paradigm-shifting opportunities from research that could ship as products in a 6-12 month timeframe. We embed with research teams to provide product perspective, build prototypes, and pressure test assumptions. Successful projects will transition to product teams for launch.
Responsibilities:
- Own and improve the development infrastructure for our core TypeScript project including CI/CD pipelines, test frameworks, and automated tooling
- Optimize our Bun/Node.js/TypeScript build system to balance speed, reliability, and security
- Design and maintain test fixtures that enable rapid, reliable development across the project
- Evaluate and integrate modern JavaScript runtime environments like Bun to improve build and test performance
- Maintain our npm dependencies and internal development tools
- Establish and enforce TypeScript best practices throughout the codebase
- Architect and maintain React component testing infrastructure including unit, integration, and visual regression tests
- Define and enforce React best practices, patterns, and component architecture
- Improve build tooling for optimal React development and production performance
- Create and maintain reusable component fixtures and testing utilities
- Create comprehensive technical documentation to help the team work effectively with our tools and practices
- Advocate for and implement developer experience improvements
You may be a good fit if you:
- Have 5+ years of software engineering industry experience
- Have deep experience with TypeScript, React, and modern JavaScript tooling, including building and maintaining large-scale applications
- Are an expert in React development, including performance optimization, modern patterns (hooks, context, suspense), and component architecture
- Have strong testing expertise across the stack - from React components and hooks to end-to-end workflows - with experience designing test fixtures and maintainable testing strategies
- Have hands-on experience maintaining developer infrastructure including CI/CD pipelines, build tools, and bundlers
- Are passionate about developer experience and can both identify friction points and implement solutions that balance quick wins with long-term maintainability
- Have experience shipping developer tools and understand what makes tools useful and adoptable
- Have hands-on experience working with large language models and prompt engineering
- Care about the societal impacts and ethics of your work
- Have shipped a sizable TypeScript app on Windows
Strong candidates may also have experience with:
- Optimizing build and test performance for large TypeScript applications
- Implementing advanced React patterns like code-splitting and lazy loading
- Creating developer tooling for React applications like custom lint rules and test harnesses
- Working with container orchestration and cloud infrastructure
- Improving developer workflows in AI/ML projects
- Administering open-source JavaScript/TypeScript projects
- Working with alternate JavaScript runtimes like Bun and Deno
Deadline to apply: None. Applications will be reviewed on a rolling basis.
The expected salary range for this position is:
Logistics
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.
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.
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By
Anthropic
Anthropic is an AI startup public-benefit company dedicated to AI safety and research, aiming to develop dependable, interpretable, and controllable AI systems. The company was was founded by former members of OpenAI in 2021.
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