Staff+ Software Engineer, Infrastructure, Interpretability
Anthropic · AI Research & Engineering
- Location
- San Francisco, CA
- Metro
- San Francisco Bay Area
- Workplace
- Unspecified
- Level
- Staff+
- Type
- Unspecified
- Pay
- $405K–$485K/yr (estimated from posting text)
- Posted
- 2 months ago
- Source
- Greenhouse
Read the full posting & apply ↗
PythonJavaGoRustAWSGCPKubernetes
What the posting covers
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…
About the role
When you see what modern language models are capable of, do you wonder, "How do these things work? How can we trust them?" The Interpretability team at Anthropic works to understand what's actually happening inside trained models - and applies our best…
About the role
Data & Compute Management: manage research data at petabyte scale and make efficient use of large accelerator fleets - storage lifecycle, capacity planning, and scheduling. Developer experience: agentic engineering, tooling and observability that keep…
Responsibilities
Design, build, and own shared infrastructure for Interpretability - research environments, data systems, and compute tooling that researchers rely on daily Lead cross-team efforts with our agentic engineering, security, compute, and storage platform teams, so…
You may be a good fit if you
Are highly proficient in at least one programming language (e.g., Python, Rust, Go, Java) and productive with Python Have significant experience building and operating secure and scalable software infrastructure - cloud systems, distributed systems, or…
Strong candidates may also have
Experience with cloud infrastructure (e.g. GCP or AWS), Kubernetes, networking and infrastructure-as-code Security engineering experience: identity / auth / access management, sandboxing, red teaming Experience with data warehousing, large-scale storage…
Representative Projects
Design and stand up a hardened research environment where researchers experiment directly on frontier model weights Build lifecycle management for petabytes of research data - visibility, retention, and cost efficiency Build self-serve scheduling and capacity…
Role Specific Location Policy
This role is based in the San Francisco office; however, we are open to considering exceptional candidates for remote work on a case-by-case basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s…
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…
Logistics
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…
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…
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…
Excerpts only. The employer’s page has the complete posting.