3 дня назад
Staff+ Software Engineer, ML Sampling Path (AI)
320 000 - 485 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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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