Staff Software Engineer ML Sampling Path
AnthropicVisit Anthropic website
AI safety and research company building reliable, interpretable, and steerable AI systems, including the Claude product family and developer platform.
Series F+Recently funded55 current maintainers49 active leads17 new active leads25 lead step-downs8 early lead departures
San Francisco, United States
Funding history
About Anthropic
Anthropic PBC develops frontier AI systems and deploys them through Claude products and the Claude Platform, with a stated focus on safety, interpretability, and steerability.
Skills
Candidate Availability
About the Role
You will build and operate backend systems on the token-generation path, own latency and reliability targets, and lead incident response. You will safely deliver changes through gradual rollouts and rollbacks, improve per-token performance, and set the technical direction for the sampling path.
Requirements
- High-QPS systems
- Distributed systems
- Replication
- Consistency
- Failure modes
- SLO management
- Incident response
- Postmortem remediation
- Graceful degradation
- Database migration
- Interface changes
- Mission-critical systems
Responsibilities
- Design, build, and operate backend systems on the token-generation path
- Maintain SLOs and error budgets for latency and availability
- Lead incident response and postmortem follow-through
- Deliver safe gradual rollouts and fast rollbacks
- Improve tail latency and per-token performance
- Lead design reviews and technical trade-off decisions
- Mentor engineers and improve operational practices
Benefits
- Optional equity donation matching
- Generous vacation
- Parental leave
- Flexible working hours