**About the Role** Risk Engineering team is part of Uber Core Technology organization. Our team is responsible for Risk decisions, fraud and abuse detection and prevention, Risk management decisions for tens of billions of USDs’ of transactions on the Uber platform, and the number is growing rapidly. We build cutting edge real-time fraud detection and prevention systems that scale to millions of users leveraging large scale data, distributed systems, and advanced machine learning technologies. **What the Will You Do** - Develop scalable solutions to address fraud and abuse problems as well as drive better user experiences across Uber Products - Work with cross functional teams (Product Managers, Data Scientists/Analysts, Program Engineers, Machine Learning Engineers) to identify any product/functionality gaps, define the problem space, contribute to product requirements, design and develop system solutions. - Collaborate with other engineering teams to drive end-to-end design, execution and product rollout. **Basic Qualifications** - 3+ years of backend software engineering experience - Bachelor of Science (BS) in Computer Science, Physics, Mathematics, or related fields - Experience in working on large-scale distributed systems - Expertise in one or more object-oriented programming languages (Go, Java). - Collaborate on projects and working efficiently as part of a team **Preferred Qualifications** - Previous experience with Risk, Fraud Detection and Machine Learning. 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](mailto:accommodations@uber.com).