# Evals Infrastructure Tech Lead / Manager

**Company**: Anthropic
**Location**: San Francisco, CA
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $500,000-$850,000 USD
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q116758847

**Apply**: https://job-boards.greenhouse.io/anthropic/jobs/5367417008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_dd2ad79b-a0a

## Description

Anthropic is at the forefront of AI research, dedicated to developing safe, ethical, and powerful artificial intelligence. We're looking for an experienced tech lead to join our Evals Infrastructure team, building the systems that let us measure what our models can actually do.

Responsibilities:

- 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

You may be a good fit if you:

- 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

- Communicate well with researchers and can translate research needs into infrastructure

- Are deeply interested in the transformative effects of advanced AI and committed to safe development

The annual compensation range for this role is $500,000-$850,000 USD.

## Skills

### Required
- Python
- Rust
- large-scale distributed systems
- high-throughput systems
- fault-tolerant systems

### Nice to have
- LLM inference or training infrastructure
- eval or benchmarking systems
- statistical literacy
- observability and regression detection

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/anthropic/jobs/5367417008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)