AI Reliability Engineer
7 days ago
We are seeking a talented Reliability Engineer to join our team. In this role, you will be responsible for developing and implementing monitoring systems, designing high-availability infrastructure, and leading incident response efforts.
The ideal candidate will have extensive experience with distributed systems observability and monitoring at scale, as well as proven experience implementing and maintaining SLO/SLA frameworks for business-critical services.
Key Responsibilities:- Develop and implement monitoring systems for large language model serving and training systems.
- Design and implement high-availability infrastructure capable of handling the needs of millions of external customers and high-traffic internal workloads.
- Lead incident response efforts for critical AI services, ensuring rapid recovery and systematic improvements from each incident.
- Extensive experience with distributed systems observability and monitoring at scale.
- Proven experience implementing and maintaining SLO/SLA frameworks for business-critical services.
- Comfortable working with both traditional metrics (latency, availability) and AI-specific metrics (model performance, training convergence).
- Competitive compensation package.
- Optional equity donation matching.
- Generous vacation and parental leave policies.
At Anthropic, we believe that the highest-impact AI research will be big science. We value impact – advancing our long-term goals of steerable, trustworthy AI – rather than work on smaller and more specific puzzles. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
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