Local Intent Data Mining Expert

The role

You will build systems that turn raw queries, behavior, and context into structured intent. This involves query understanding, user-intent classification, semantic search, and intent taxonomies to power local discovery.

What you will 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.

Required qualifications

• 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.
• 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).

About the company

NewsBreak is a local life and news platform with more than 40 million monthly users. The company includes platforms like Nearby AI and NDot AI.