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Высокая зарплатаЧеткие обязанностиПродуктовая компанияГибридный формат
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Staff+ Software Engineer, ML Sampling Path (AI): Building and operating production backend services on Claude’s token-generation path with an accent on p99 latency, reliability, graceful degradation, and safe deployment. Focus on designing high-QPS distributed systems, managing SLOs and incidents, optimizing per-token performance, and setting technical direction for mission-critical AI safety infrastructure.
Location: San Francisco, CA; hybrid policy requiring staff to be in one of the offices at least 25% of the time
Annual salary: $320,000–$485,000 USD
Company
Anthropic builds reliable, interpretable, and steerable AI systems designed to be safe and beneficial for users and society.
What you will do
Design, build, and operate backend services that process every token on Claude’s generation path, including streaming contracts with APIs and inference engines.
Own latency and reliability end to end by defining SLOs and error budgets for latency, time to first token, and availability.
Lead incident response, postmortem remediation, and operational improvements.
Ship hot-path changes through canary and gradual rollouts with latency and error-budget gates and fast rollbacks.
Optimize per-token performance, tail latency, and cost as traffic, models, and checks per request scale.
Set technical direction through design reviews, trade-off decisions, mentoring, and operational standards for the Safeguards organization.
Requirements
Experience designing, building, and operating high-QPS systems at global scale in production.
Experience with incident response, outages, and postmortem-driven remediation.
Strong foundation in distributed systems, including replication, consistency trade-offs, failure modes, and SLO management under load.
Experience designing for graceful degradation when dependencies slow down, streams drop, or deployments are partially rolled out.
Experience delivering broad or all-encompassing changes to mission-critical systems, such as database migrations, interface changes, or rewrites.
Bachelor’s degree or equivalent education, training, or professional experience in a relevant field.
Nice to have
8+ years of industry software engineering experience.
Familiarity with LLM inference systems and transformer-based models.
Culture & Benefits
Collaborative research environment focused on large-scale AI safety efforts.
Flexible working hours.
Generous vacation and parental leave.
Competitive benefits and optional equity donation matching.
Office environment designed for collaboration.
Visa sponsorship is available, with immigration-lawyer support, subject to role and candidate eligibility.
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