Anthropic
Staff+ Software Engineer, ML Sampling Path
$320K–$485K
San Francisco, CA +1 · Staff · Full-time · Posted Sep 9, 2026
- Location
- San Francisco, CA
San Francisco, California, United States - Experience
- Minimum years correlate with internal job level; 8+ years of industry software engineering experience is a plus.
- Education
- Bachelor’s degree or an equivalent combination of education, training, and/or experience; relevant field demonstrated through coursework, training, or professional experience.
- Visa sponsorship
- Visa sponsorship is available, but not for every role or candidate; if an offer is made, Anthropic will make every reasonable effort to obtain a visa and provides an immigration lawyer.
About the job
Build and operate the production backend services that process Claude’s generated tokens, keeping the safety-systems sampling path reliable, low-latency, and cost-efficient.
What you'll do
- Design, build, and operate token-generation-path systems and their streaming contract with APIs and inference engines.
- Own latency and reliability SLOs, incident response, performance, and safe rollouts.
- Set technical direction, lead design reviews, make trade-off decisions, and mentor engineers.
What they ask for
- Production accountability for high-QPS systems at global scale, including incident response and remediation.
- Strong distributed-systems foundation, including replication, consistency, failure modes, and SLO management under load.
- Design for graceful degradation when dependencies or deployments fail.
- Experience shipping broad changes to mission-critical systems.
Nice to have
- Familiarity with LLM inference systems and transformer-based models.
Pay
$320,000 — $485,000 USD (base salary)
Tools
Claude, API, inference engines, LLM, transformer-based models
AI focus
Build and operate the production sampling path for Claude’s safety systems, processing generated tokens on the inference path.
Model-written summary · the original posting is authoritative