Software Engineer II - Backend - Maps

Software Engineer II - Backend - Maps Department: Engineering Team: Backend Location: Amsterdam, Netherlands Type: Full-Time **About the Role** Build ML extraction pipelines to unlock visual context from aerial imagery for maps quality and autonomous vehicle navigation Work on ML-based projects to extract map features to power Uber internal's map representation, POI details and support our AV capabilities Greenfield opportunity: Define imagery platform's product-market fit while building end-to-end systems from scratch (annotation tools, inference pipelines, quality gates, operator workflows). **What the Candidate Will Do** - Build end-to-end ML extraction pipelines to extract maps features from imagery using computer vision techniques, partnering with the team's ML engineers. - Design and implement data ingestion systems for aerial and street-level imagery sources - Develop operator workflows to ingest extracted features into the uber map - Prototype new extraction use cases (building entrances, parking zones, road metadata) **Basic Qualifications** - 4+ years of experience as a backend engineer. - Experience building production-ready pipelines using Spark. - Ownership in ambiguity - Comfortable designing systems with incomplete requirements and willing to pivot fast if needed as the team is still discovering market fit and use cases. **Preferred Qualifications** - Computer vision ML systems: Experience productionizing CV models (segmentation, object detection) from training to inference at scale - Geospatial pipelines: Familiarity with imagery processing for maps (aerial, street-level), geometric algorithms, or map data workflows - Startup mentality: Thrives in greenfield environments with a bias towards action. Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuelds progress. What moves us, moves the world - let’s move it forward, together. Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expect