Senior ML Engineer, Retrieval & Ranking

Moonpool; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Moonpool is seeking a role focused on owning and improving the retrieval pipeline behind citation-backed answers. You will enhance retrieval-augmented generation across multiple enterprise integrations to deliver relevant information.

You will design scalable pipelines, train embedding and re-ranking models, and build evaluation frameworks to measure answer quality, working with product colleagues to verify 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.

Job description

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.