INFERENCE ENGINEER
ABOUT THE COMPANY
We're building autonomous research agents for recursive self-improvement (multi-agent systems that propose, run, and analyze machine learning experiments). We're a small team based in San Francisco, on-site
ABOUT THE ROLE
You build and operate the inference systems that serve our models in production. The work spans serving infrastructure, runtime optimization, and the long tail of production infrastructure that come with running real workloads.
This is an engineering role, not a research role. You'll measure, profile, debug, and ship. You'll work alongside researchers, but your job is to make their work fast and reliable in production. Real ownership, real autonomy.
WHAT YOU'LL DO
Build, operate, and harden production inference systems serving large models at high throughput
Own the performance characteristics of those systems end-to-end: throughput, latency, cost-per-token, reliability under load
Profile real workloads to identify bottlenecks; ship fixes that move the metric you set out to improve
