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 GoTo Meeting