The opportunity
Our team builds classification and evaluation systems that give post-training and research teams fast, reliable feedback on model behavior. We combine machine learning and production engineering to make these capabilities accurate, efficient, and useful at scale, helping…
What you'll do
Design and build software services and APIs for configuring, running, and: managing classifiers and evaluations.
Build and operate online and offline classification pipelines that support: reliable, efficient execution at scale.
Improve model-serving performance, including throughput, latency, concurrency, and compute utilization.
Build tools that make experimentation, debugging, and iteration: straightforward for researchers and data scientists.
Own production reliability, observability, and incident response, and reduce: the operational burden of running the platform.
Partner with machine learning engineers to bring new classification capabilities into production.
What they're looking for
- Work closely with post-training researchers and data scientists to understand: their workflows, identify high-impact improvements, and shape the product.
- Experience designing, building, and operating software services or distributed systems at scale.
- Strong fundamentals in API design, concurrency, caching, performance, and failure recovery.
- Ability to investigate complex production problems and make sound architectural tradeoffs.
