RUNREQ :: job/30d1f2e0-0b69-867c-9af9-77aee1bf3338
CLOSED
← ANTHROPIC JOB LEDGER

Pre-training Distributed Systems Tech Lead / Manager

SAN FRANCISCO, CA / AI RESEARCH & ENGINEERING / TYPE NOT LISTED

SOURCE STATECLOSEDAPPLY AT ANTHROPIC ↗
FIRST SEENJUL 22, 2026RUNREQ OBSERVATIONDAYS OPEN6955D COMPANY MEDIANTEAM OPEN66AI RESEARCH & ENGINEERING30D TEAM+7NEWLY OBSERVEDTRACKED COMP$500K–$850K /YRDISCLOSED RANGE / ALL TIERSSOURCECLOSEDCHECKED 15D AGO
JOB DESCRIPTIONSHORTENED FROM SOURCE

Key responsibilities

4 ITEMS
  • Lead a team that builds distributed systems to schedule, orchestrate, and execute evals for frontier model training.
  • Own eval throughput and cost through compute allocation, queueing, caching, and reuse across constrained accelerator pools.
  • Build researcher harnesses and ensure results are deterministic, reproducible, interpretable, and supported by uncertainty estimates.
  • Manage and grow the team, prioritize its work, coach reports, and contribute directly as an engineer.

Qualifications needed

4 ITEMS
  • Lead technical projects on large scale distributed systems and have at least one year of experience managing engineers or tech lead with reports experience.
  • Demonstrate strong Python and Rust skills and experience building high throughput, fault tolerant systems on cloud or on premises accelerator fleets.
  • Hold a Bachelor’s degree or equivalent education, training, or experience in a relevant field.
  • Preferred: Experience with LLM inference or training infrastructure, eval or benchmarking systems, statistical methods, observability, and regression detection.
EVENT>Anthropic :: Pre-training Distributed Systems Tech Lead / Manager first observed 69 days ago