6 hours ago
Base Salary
$320k - $485k/yr
Responsibilities
- Design, build, and own shared research environments, data systems, and compute tooling for Interpretability.
- Lead cross-team efforts with agentic engineering, security, compute, and storage platform teams.
- Discover and resolve organization-wide developer experience issues.
- Help turn interpretability methods from research code into dependable audit pipelines.
- Build secure-by-default environments, privacy-aware data access patterns, petabyte-scale data lifecycle systems, accelerator scheduling and capacity tooling, and infrastructure observability.
Requirements
- Highly proficient in at least one programming language such as Python, Rust, Go, or Java, and productive with Python.
- Significant experience building and operating secure and scalable software infrastructure, including cloud systems, distributed systems, or developer tooling.
- Strong cross-functional communication skills and the ability to work with researchers, platform teams, and security teams.
- Curiosity about unfamiliar domains, interpretability research, and AI safety; research experience is not required.
- Ability to prioritize impactful work, operate with ambiguity, and question assumptions.
- Care for the societal impacts and ethics of the work.
- Preferred experience includes GCP or AWS, Kubernetes, networking, and infrastructure-as-code.
- Preferred security experience includes identity, authentication, access management, sandboxing, or red teaming.
- Preferred experience with data warehousing, large-scale storage systems, data lifecycle management, compute schedulers, accelerator fleet management, developer productivity tooling, observability stacks, or research acceleration tooling.
- Bachelor’s degree or an equivalent combination of education, training, and/or experience in a relevant field demonstrated through coursework, training, or professional experience.
Benefits
- Annual compensation range of $320,000–$485,000 USD.
- Based in the San Francisco office; exceptional remote work may be considered case by case.
- Hybrid policy currently expects staff to work from an office at least 25% of the time, with some roles requiring more.
- Competitive benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office collaboration space.
- Visa sponsorship is available, subject to role and candidate eligibility.
About Anthropic
We're an AI research company that builds reliable, interpretable, and steerable AI systems. Our first product is Claude, an AI assistant for tasks at any scale. Our research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability.