Local Intent Data Mining Specialist

Francisco Partners; Mountain View (CA); On-site; USD 112,000 - 293,000; Full time

Job summary

Francisco Partners is seeking a skilled Applied Scientist or ML Engineer in Mountain View, California. You will work on understanding local consumer demands by building models for query understanding and intent classification, while deploying LLM-powered features into production.

The ideal candidate has over 5 years of relevant experience and is capable of turning raw data into structured consumer insights. Competitive compensation is offered, with an annual salary range of $112,000 — $293,000.

Qualifications

• 5+ years as an Applied Scientist or ML Engineer in relevant fields.
• Production experience shipping models that serve real users.
• Experience with embeddings and semantic search.

Responsibilities

• Build query-understanding and user-intent classification models.
• Design intent taxonomies and interest graphs.
• Ship LLM-powered features into production.

Skills

Query understanding

Intent classification

Semantic search

Natural Language Understanding (NLU)

LLMs production deployment

Job description

About the role

You will build the systems that understand what local consumers actually want — turning raw queries, behavior, and context into structured intent. This means query understanding, user‑intent classification, semantic search, and the intent taxonomies and interest graphs that power discovery across local categories. You will bring LLMs into production, not the lab, to make local search and recommendations genuinely understand consumer intent.

What you'll do

• Build query‑understanding, user‑intent classification, and semantic‑search models for local consumer demand.
• Design and grow intent taxonomies and interest graphs over local categories and merchants.
• Ship LLM‑powered features into production for search and recommendations at consumer scale.
• Work with embeddings, retrieval, and NLU to connect messy consumer language to local supply.
• Define metrics and run experiments that tie intent quality to downstream conversion.

What we're looking for

• 5+ years as an Applied Scientist or ML Engineer on query understanding, intent, semantic search, or NLU.
• Production experience shipping models that serve real users — not purely offline or research work.
• Hands‑on with embeddings, semantic search, intent classification, taxonomy, or interest‑graph construction.
• Experience bringing LLMs into production systems.
• Comfort working at consumer‑internet data scale.

Nice to have

• Background at Google Search / Ads quality, Meta, TikTok, Pinterest, DoorDash, Instacart, Amazon Search/Alexa, or Apple.
• Built a user‑intent taxonomy or interest graph at a consumer internet company.
• Consumer‑intent or personalization work specifically at a local platform (DoorDash, Instacart).

Annual Base Pay Range: $112,000 — $293,000 USD