Local Intent Data Mining Specialist
NewsbreakRole Overview
Newsbreak is hiring a Local Intent Data Mining Specialist. This is a full-time role in Mountain View, California. posted last week. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job description
About NewsBreak
Founded in 2015, NewsBreak is the Content Intelligence platform shaping the future content economy. With over 40 million monthly active users, our flagship platform delivers highly personalized local news and information powered by advanced AI, recommendation systems, and adtech.
Recognized by Fast Company as #32 on the Top Workplaces for Innovators, we're proud to be Great Place to Work® certified and home to a dynamic team of technologists, product innovators, and business leaders who are passionate about solving meaningful challenges at scale.
Together, we reached unicorn status in 2021, and we remain committed to continuing this high-growth trajectory with the right team to fulfill our mission: building the infrastructure layer for content intelligence.
If you’re inspired to dream big, innovate fast, and make a difference, we’d love to hear from you! For more information, visit www.newsbreak.com/about
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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About Newsbreak
Frequently Asked Questions
How do I apply for the Local Intent Data Mining Specialist position at Newsbreak?
Use the Apply button above to submit your application directly to Newsbreak. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Local Intent Data Mining Specialist position at Newsbreak located?
This position is based in Mountain View, California. Newsbreak has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Local Intent Data Mining Specialist at Newsbreak earn?
Newsbreak has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Local Intent Data Mining Specialist role at Newsbreak posted?
This role was posted on June 29, 2026 (10 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
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