Senior ML Engineer, Contextual Retrieval & Multi-Hop Search

Royper Royco LLC; United States; Remote; USD 180,000 - 240,000; Full time

Job summary

Iterable is seeking a Senior Machine Learning Engineer to lead context retrieval and search for Nova, the intelligence layer. You will build the retrieval stack and search subagents that power grounded, context-aware agent responses.

You will have autonomy from research to production, shaping the direction of AI at Iterable while mentoring teammates and driving high-impact improvements across the system.

Qualifications

• Must-have experience building retrieval systems for structured and unstructured data.
• Proficiency in semantic query understanding and multi-turn workflows.
• Experience delivering production-grade ML systems and mentoring engineers.

Responsibilities

• Build retrieval across structured data (tables, SQL, dashboards, code) and unstructured content.
• Develop semantic query understanding and entity resolution for agents.
• Create pipelines to extract entities, embeddings, summaries, and metadata from data.
• Develop search subagents that decide what to retrieve and perform multi-hop searches.
• Measure retrieval quality with ranking metrics and online tests; iterate accordingly.
• Mentor engineers and influence the technical direction for Nova.

Skills

Retrieval systems

Semantic understanding

Entity resolution

Multi-hop search

ML engineering

Mentorship

Job description

Iterable is seeking a Senior Machine Learning Engineer to lead context retrieval and search for Nova, the intelligence layer. You will build the retrieval stack and search subagents that power grounded, context-aware agent responses.

You will have autonomy from research to production, shaping the direction of AI at Iterable while mentoring teammates and driving high-impact improvements across the system.