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
Join Anthropic's Languages Team as a foundational member shaping how Python, Rust, and Go are used across one of the world's fastest-growing AI companies. As we scale our engineering and research teams, we are currently seeking three team members (one each for Python, Go and Rust), who are experts in the respective languages, to help define and build the development ecosystems that power the future of AI development.
You'll be responsible for the full lifecycle of how Python, Rust, and Go are used by engineers and researchers across Anthropic - from research experiments to production systems serving millions. This includes building foundational language infrastructure, defining best practices, creating tooling, and ensuring exceptional developer productivity while supporting both cutting-edge AI research and massive-scale deployment.
Working at the intersection of language ecosystems and AI development, you'll tackle uniquely complex problems where your architectural decisions directly impact how thousands of engineers develop AI systems safely and efficiently. The infrastructure you build must support diverse workloads - from experimental research code to battle-tested production systems - all while maintaining the highest standards of safety, performance, and developer experience.
This is an opportunity to establish the standards and foundations for how modern programming languages enable AI development at unprecedented scale, working alongside some of the brightest minds in AI research and engineering.
Responsibilities:
Design and build foundational language infrastructure for Python, Rust, and/or Go that supports both AI research workflows and production-scale systems
Define and implement language ecosystem standards, best practices, tooling, libraries, and frameworks that ensure safety, performance, and exceptional developer productivity across diverse AI workloads
Establish language-specific CI/CD pipeline integration, testing frameworks, and deployment strategies optimized for AI development cycles
Partner extensively with infrastructure teams to ensure seamless integration between language-specific tools and broader platform services, such as debugging Kubernetes issues, optimizing node instance types for performance, and collaborating on cross-cutting infrastructure challenges
Collaborate closely with research and engineering teams to understand emerging requirements and translate them into robust, scalable language infrastructure, including cross-language interoperability solutions
Drive technical strategy for language adoption, migration paths, large-scale cross-cutting changes, and ecosystem evolution as Anthropic scales, while mentoring engineers and researchers on language best practices
Lead incident response and troubleshooting for language-related issues across research and production environments
You may be a good fit if you:
Have 5+ years of production software engineering experience with deep expertise in at least one of Python, Rust, or Go
Have strong experience in developer tooling, build systems (including Nix), dependency management, and worked extensively with monorepos
Are comfortable working across the stack, including debugging infrastructure issues like Kubernetes problems or optimizing system performance
Have strong communication and collaboration skills to work effectively with diverse teams including researchers, engineers, and infrastructure specialists
Are excited about defining foundational systems and processes and are comfortable working independently on ambiguous, high-impact technical challenges
Strong candidates may have:
Built core language infrastructure like compilers, interpreters, package ecosystems, or maintained widely-used open-source developer tools with significant adoption
Expertise in performance optimization across language runtimes or cross-language interop technologies
Experience with AI/ML research-to-production workflows, understanding the unique challenges of supporting both experimental research code and production model training/serving pipelines
Deadline to apply: None. Applications will be reviewed on a rolling basis.
The expected salary range for this position is:
Annual Salary:
$320,000—$485,000 USD
Logistics
Education requirements: We require at least a Bachelor's 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 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. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process