29 days ago
Base Salary
$320k - $485k/yr
Responsibilities
- Design, build, and own shared infrastructure for interpretability research environments, data systems, and compute tooling.
- Lead cross-team efforts with agentic engineering, security, compute, storage, and platform teams.
- Discover and resolve organization-wide developer experience issues.
- Help transition interpretability methods from research code into dependable audit pipelines.
- Build hardened research environments for direct experimentation with frontier model weights.
- Manage lifecycle, visibility, retention, and cost efficiency for petabytes of research data.
- Build self-service scheduling and capacity tooling for research compute.
- Create observability that detects infrastructure regressions before they significantly affect researchers.
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.
- Strong curiosity, prioritization skills, comfort with ambiguity, and willingness to question assumptions.
- Interest in interpretability research and AI safety; research experience is not required.
- Care about the societal impacts and ethics of the work.
- Strong candidates may have experience with GCP or AWS, Kubernetes, networking, infrastructure-as-code, identity and access management, sandboxing, red teaming, data warehousing, large-scale storage, data lifecycle management, compute schedulers, accelerator fleet management, developer productivity tooling, observability, or research acceleration tooling.
- A 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
- Based in the San Francisco office, with exceptional remote work considered case by case.
- Hybrid policy expects staff to work from an office at least 25% of the time, with some roles requiring more office time.
- Visa sponsorship is available, subject to role and candidate eligibility.
- Competitive benefits include optional equity donation matching, generous vacation and parental leave, flexible working hours, and office collaboration space.
Categories
Data EngineeringDevOps
About Anthropic
Anthropic builds large language models and the Claude AI assistant for developers and enterprises, offered via API access and enterprise plans. Founded in 2021 and headquartered in San Francisco, it distributes Claude through its own platform and via partners such as Amazon Bedrock and Google Cloud’s Vertex AI. Its work emphasizes model reliability, interpretability, and practical tooling for tasks like coding assistance, analysis, and customer support automation.