Anthropic9 дней назад

Evals Infrastructure Tech Lead / Manager

Зарплата не указана
San Francisco

Обязанности

  • 01Lead the team building the distributed systems that schedule, orchestrate, and execute evals for our frontier model training
  • 02Own eval throughput and cost: compute allocation across suites, queueing against constrained accelerator pools, caching and reuse of eval work
  • 03Build and scale the harnesses researchers use to define, run, and iterate on evals
  • 04Make eval results trustworthy — determinism, reproducibility, and honest uncertainty quantification on reported metrics
  • 05Ensure eval signal reaches the dashboards and reviews where launch decisions actually get made
  • 06Contribute directly as an engineer while managing and growing the team, prioritizing its work, and coaching your reports

Требования

  • 01Have led technical projects end-to-end on large-scale distributed systems
  • 02Have 1+ years managing engineers (or tech-lead-with-reports experience)
  • 03Are strong in Python and Rust
  • 04Have built high-throughput, fault-tolerant systems on cloud or on-prem accelerator fleets
  • 05Care about measurement quality, not just pipeline uptime
  • 06Communicate well with researchers and can translate research needs into infrastructure
  • 07Are deeply interested in the transformative effects of advanced AI and committed to safe development
  • 08Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
  • 09Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Условия

  • 01Annual Salary: $500,000 — $850,000 USD
  • 02Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time
  • 03Visa sponsorship: We do sponsor visas
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