The opportunity
Anthropic is at the forefront of AI research, dedicated to developing safe, ethical, and powerful artificial intelligence. Our mission is to ensure that transformative AI systems are aligned with human interests.
What you'll do
Lead the team building the distributed systems that schedule, orchestrate,: and execute evals for our frontier model training
Own eval throughput and cost: compute allocation across suites, queueing against constrained accelerator pools, caching and reuse of eval work
Build and scale the harnesses researchers use to define, run, and iterate on evals
Make eval results trustworthy: determinism, reproducibility, and honest uncertainty quantification on reported metrics
Ensure eval signal reaches the dashboards and reviews where launch decisions actually get made
Contribute directly as an engineer while managing and growing the team,: prioritizing its work, and coaching your reports
What they're looking for
- Have led technical projects end-to-end on large-scale distributed systems,: and have 1+ years managing engineers (or tech-lead-with-reports experience)
- Are strong in Python and Rust
- Have built high-throughput, fault-tolerant systems on cloud or on-prem accelerator fleets
- Care about measurement quality, not just pipeline uptime: you'd notice if a metric moved for the wrong reason
