Senior ML Engineer - Retrieval & Semantic AI Pipelines

Iterable; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

Iterable, Inc. is seeking a data platform engineer to advance our data retrieval capabilities across structured data (tables, SQL, dashboards) and unstructured content (docs, tickets, chat).

You will design and implement end-to-end data pipelines that pull signals from each source and keep them fresh. You will also help build semantic query understanding for agents, including query rewriting, decomposition, intent classification, and entity resolution for multi-turn workflows, enabling smarter,

Responsibilities

• Build retrieval across structured data (tables, SQL, dashboards) and unstructured content (docs, tickets, chat) using each source’s own signals.
• Build semantic query understanding for agents: query rewriting, decomposition, intent classification, and entity resolution for multi-turn workflows.
• Build pipelines that extract entities, embeddings, summaries, and metadata from customer data, and keep them fresh.

Job description

Iterable, Inc. is seeking a data platform engineer to advance our data retrieval capabilities across structured data (tables, SQL, dashboards) and unstructured content (docs, tickets, chat).

You will design and implement end-to-end data pipelines that pull signals from each source and keep them fresh. You will also help build semantic query understanding for agents, including query rewriting, decomposition, intent classification, and entity resolution for multi-turn workflows, enabling smarter,