Senior ML Engineer, Retrieval & Ranking

Role overview Own and improve the retrieval pipeline behind answers that include citations. The focus is on finding relevant information across many enterprise integrations, then ranking results to support accurate, timely, and trustworthy answers.

Responsibilities - Design and improve retrieval-augmented generation pipelines at scale. - Train and fine-tune embedding and re-ranking models. - Build evaluation frameworks to measure answer quality. - Work with product colleagues on passive signals that help verify answers.