Sobre este puesto de Local POI Knowledge Graph en NewsBreak
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
Local commerce runs on trustworthy data about places, merchants, and the relationships between them. You will build our local knowledge graph: the POI and places-data systems, entity resolution, and ontologies that turn fragmented, multi-source business data into a clean, queryable graph. If you have built places data or a knowledge graph at map or local scale, this is the core data foundation of the company.
What you'll do
- Build and scale the local knowledge graph: POI / places data systems, schema, and ontology for local businesses and listings.
- Own entity resolution and entity linking across multiple, conflicting data sources.
- Build merchant / listing data-quality systems that keep the graph accurate over time.
- Fuse multi-source POI data into a single coherent representation at scale.
- Partner with intent and matching teams so the graph powers search, discovery, and matching.
What we're looking for
- 4+ years in software engineering with direct knowledge-graph, POI, or places-data work.
- Hands-on entity resolution / entity linking, multi-source POI fusion, or listing data-quality systems.
- Experience with ontology / schema design for real-world entities.
- Comfort operating at graph scale (can speak to the size and structure of graphs you've built).
- Strong data-engineering fundamentals (pipelines, geospatial data a plus).
Nice to have
- Background at Google Maps / Google Knowledge Graph, Apple Maps, Foursquare, Yelp, Uber, TomTom, HERE, Meta (Mapillary), or Microsoft (Bing Maps).
- Entity resolution or merchant-data-quality work at Yelp, Uber, or DoorDash.
