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Iterable

Senior Machine Learning Engineer, Agentic Context Retrieval and Search

Remote · US · Full time · Senior level

$150k–$250k / year

About the role

Lead development of context retrieval and search for Iterable Nova's AI layer. Build retrieval stacks and search subagents to improve customer interaction relevance.

What you’ll do

• Build retrieval across structured and unstructured data sources. • Develop semantic query understanding for agents. • Create pipelines for entity extraction and metadata freshness. • Build search subagents for multi-hop searches and quality checks. • Measure quality with ranking metrics and improve retrieval systems.

What you’ll bring

• 5+ years MLE experience with production-scale models. • Master's or PhD in CS, ML, AI, or related field. • Expertise in lexical, dense, and hybrid retrieval. • Experience with Elasticsearch, OpenSearch, or Vespa. • Work authorization for US.

Life at Iterable

Iterable values ownership, growth mindset, transparency, and teamwork. Diverse and inclusive workplace with global presence.

About Iterable

Iterable is an AI customer engagement platform trusted by global brands, enabling seamless cross-channel experiences with enterprise-grade security.

Posted 12 hours ago