About the Role Uber is changing the way the world moves. What began as an app to request a premium ride has evolved into a global platform transforming mobility, delivery, and logistics in cities across the globe. Whether it's a ride, a meal, or a package, Uber leverages technology to bring people what they need, when they need it.
We're looking for a Senior Machine Learning Engineer with strong expertise in Computer Vision and Image Processing to join the Basemaps team at our Amsterdam tech hub. This is a unique opportunity to shape and deliver the next generation of map technology-building scalable ML systems that automatically curate, enrich, and validate map data from imagery and other sources. Your work will directly enhance road network precision, identify hazards, and improve the overall efficiency and safety of our platform.
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What You'll Do
- Design and develop machine learning models focused on computer vision and geospatial image analysis to improve and scale map curation.
- Translate business and operational needs into scalable technical solutions, including defining success metrics.
- Lead end-to-end development of ML pipelines and backend systems-data processing, model training, deployment, A/B testing, and production rollout.
- Build systems that detect and resolve map data issues, identify new road features, and enhance geographic coverage.
- Work cross-functionally with product managers, data scientists, engineers, and operations to ensure robust, reliable, and impactful solutions.
Basic Qualifications
- PhD or equivalent in Computer Science, Engineering, Mathematics or a related field.
- 5+ years of industry experience in software engineering, with at least 3 years focused on machine learning and computer vision.
- Deep understanding of modern ML techniques including supervised learning, deep learning (e.g., CNNs), and probabilistic modeling.
- Hands-on experience with ML frameworks such as TensorFlow, PyTorch, OpenCV, Scikit-Learn.
- Strong programming skills in Python, Go, or Java.
- Proficiency with large-scale data tools such as MapReduce, Spark, Hive.
- Solid grasp of algorithms, data structures, and computer architecture fundamentals.
Preferred Qualifications
- Prior experience working with geospatial data and solving vision-based mapping problems.
- Experience building and maintaining distributed systems at scale.
- Familiarity with satellite or street-level imagery, LiDAR, or other sensor data.
- Track record of production-quality software deployment and monitoring.
- Experience translating complex insights into actionable business outcomes.
- Comfort with participating in on-call rotations for high-availability systems.
We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world 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.