Software Engineer II - Backend - Maps

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)

Do you have experience in Spark?, * 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., * 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.