Senior ML Engineer, Nova: Context Retrieval & Search

Iterable, Inc.; United States; Remote; USD 160,000 - 210,000; Full time

Job summary

Iterable, Inc. is seeking a Senior Machine Learning Engineer to lead context retrieval and search for Nova, the company’s AI intelligence layer.

You will own end-to-end retrieval systems, build subagents, and drive production-grade ML that grounds responses in user context. You will work with a team of engineers to ship reliable, scalable RM features, apply cutting-edge research, and contribute to Nova’s strategic direction.

Qualifications

• Hands-on experience deploying complex models at scale.
• Proven ability to ship reliable ML features for production.

Responsibilities

• Build retrieval across structured data and unstructured content to support agent responses.
• Develop semantic query understanding for multi-turn workflows.
• Design pipelines to extract entities, embeddings, and metadata from customer data.
• Create and iterate on retrieval subagents and multi-hop search flows.
• Measure impact with ranking metrics and A/B tests, improve end-to-end results.
• Mentor engineers and help set Nova's technical direction.

Skills

Machine Learning Eng

Information Retrieval

Elastic/OpenSearch/Vespa

RAG techniques

Evaluation & AB testing

Retrieval-based agents

Education

Master's or PhD in CS/ML

Tools

Elasticsearch/OpenSearch

Vespa

LLM APIs

Prompting & Tool-calling

Job description

Iterable, Inc. is seeking a Senior Machine Learning Engineer to lead context retrieval and search for Nova, the company’s AI intelligence layer.

You will own end-to-end retrieval systems, build subagents, and drive production-grade ML that grounds responses in user context. You will work with a team of engineers to ship reliable, scalable RM features, apply cutting-edge research, and contribute to Nova’s strategic direction.