Software Engineer II - Backend - Maps
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
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- 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 expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.
*Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to accommodations@uber.com.
Perks and Benefits
Health and Wellness
- Health Insurance
- Health Reimbursement Account
- Dental Insurance
- Vision Insurance
- Life Insurance
- FSA With Employer Contribution
- Fitness Subsidies
- On-Site Gym
- Mental Health Benefits
Parental Benefits
- Fertility Benefits
Work Flexibility
- Flexible Work Hours
- Remote Work Opportunities
- Hybrid Work Opportunities
Office Life and Perks
- Casual Dress
- Pet-friendly Office
- Snacks
- Some Meals Provided
- On-Site Cafeteria
Vacation and Time Off
- Paid Vacation
- Unlimited Paid Time Off
- Paid Holidays
- Personal/Sick Days
- Sabbatical
- Volunteer Time Off
Financial and Retirement
- 401(K)
- Company Equity
- Performance Bonus
Professional Development
- Work Visa Sponsorship
- Associate or Rotational Training Program
- Promote From Within
- Mentor Program
- Access to Online Courses
Diversity and Inclusion
- Employee Resource Groups (ERG)
- Diversity, Equity, and Inclusion Program