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The Discovery team sits at the core of Harmonic’s product and data engine. We make it possible to search, research, analyze, compare, and evaluate across the entire universe of startups. We source and ingest data from first-, second- and third-party sources, including hundreds of fragmented and unstructured sources, and turn them into structured insights and searchable indices. Recently, we built the industry leading agentic layer for startup search and research, that’s unlocking new paradigms for VCs to make sense of this vast amount of data on startups and automate critical tasks in their sourcing and diligence workflows.
Job Responsibility:
Own semantic understanding: lead the strategy and roadmap to improve and evolve semantic search precision and recall outcomes
Architect RAG + personalization: own designing and building systems that persist and leverage high value data to produce outcomes with real-time, individualized responses
Cross-team leadership: Partner with infra to generalize your search and RAG architecture for platform-wide use, and drive integration in features across product engineering teams
Requirements:
5+ years of experience as a machine learning engineer, with flexibility for exceptional candidates
Proven track record optimizing semantic search, embeddings, vector stores, or ranking pipelines to drive measurable improvements in relevance and recall
Hands-on experience with LLM-powered search, RAG implementations, or agentic workflows
Strong systems-level thinking: you’ve designed data models, chosen indexing strategies, and built serving paths optimized for both performance and user experience
What we offer:
Top of the line health, dental and vision insurance, with 100% premium covered