Knowledge Graph Engineer

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. The US base salary range for this full-time position is $142,000 – $342,000 USD. Pay may vary based on a number of factors including job-related skills, level, experience, geographic location and relevant education or training. The role may also be eligible for discretionary bonus and options. CPRA Privacy Notice for California Candidates J-18808-Ljbffr