Local Intent Data Mining Expert
At a glance
Mid-level Data Analysis & BI role at NewsBreak. Mountain View · $112,000–$293,000 base.
dataroles summary, based on the employer's posting.
What you'll do
- Develop models that interpret local queries, classify user intent and improve semantic search
- Build intent categories and interest graphs covering local merchants and consumer interests
- Launch LLM-based capabilities in search and recommendations for large consumer audiences
- Apply embeddings, retrieval and language understanding to map informal queries to local services
- Measure intent quality and test its effect on later conversions
What you bring
- At least five years in applied science or machine learning engineering, focused on query understanding, intent, semantic search or NLU
- You have launched models used by real people, rather than working only on offline studies or research
- Practical experience with embeddings, semantic search, intent classification, taxonomies or interest graphs
- You have deployed LLMs in live systems and can work with consumer-internet-scale data
Who this fits
This role suits an applied science or machine learning engineer whose work centers on consumer intent, search or recommendations. The position is based in Mountain View, United States.
From the employer
About NewsBreak
Local life runs on local information. What happened down the street? Who can fix this? Where should we go tonight? NewsBreak started in 2015 to answer these questions, and today more than 40 million people a month rely on us to follow what’s going on in their zip code.
Three platforms with one vision: powering local life. Led by founder and CEO Jeff Zheng, NewsBreak is our local life and news platform; Nearby AI connects people with local businesses; and NDot AI helps publishers and creators grow and earn.
Building for the long term. A $115 million Series C made us a unicorn in 2021, and we keep investing in our people. We’re Great Place to Work® certified and named to Fast Company’s Best Workplaces for Innovators (2025) and Fortune’s Best Workplaces in the Bay Area™ (2026).
Everyone makes an impact. Whether you write code, shape products, tell our story, or run the business, we want people who own projects end to end, stay curious, and speak up. Join us.
Learn more at: NewsBreak, Nearby AI, NDot AI
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).
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