Software Engineer II - Backend - Maps

Requirements

• 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.

What You'll Be Doing

• 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).

Perks and Benefits

• Greenfield opportunity to define imagery platform's product-market fit.
• Work on ML-based projects for map features and autonomous vehicle capabilities.
• Opportunity to contribute to Uber's mission of reimagining the way the world moves.