Staff Software Engineer, (Backend) Uber AI Solutions

Staff Software Engineer, (Backend) Uber AI Solutions Department: Engineering Team: Backend Location: Sunnyvale, United States Type: Full-Time **About the Role** At Uber, our mission is to be the platform of choice for flexible earning opportunities. We are expanding this vision through **Uber AI Solutions (UAIS)**, a fast-growing team operating like a startup within Uber. We are building **foundational model data infrastructure** for the next generation of AI systems, where human intelligence and machine learning models work together to produce **Model Ready Datasets.** Our platform serves frontier labs, cognitive research teams, and model infrastructure organizations operating across **Generative AI**& **Physical AI**. As models are pushed into multimodal, interactive, and real world use cases, high quality, well structured and well understood data becomes a system level requirement. We are creating a cutting-edge, AI powered, scalable, human in the loop platform that integrates expert knowledge workers directly into the data lifecycle. From dataset design and evaluation to feedback driven iterations and responsible data production, our infrastructure enables team to move faster without compromising rigor and reliability. We operate in over 30+ countries, with knowledge workers actively engaged in preparing datasets for a variety of AI initiatives. We believe breakthroughs in AI will be driven not only by advances in models, but by the strengths of data systems that support them. Our mission is to build the infrastructure that makes frontier research and production possible at scale. We are seeking a **Staff Engineer** to provide technical direction and lead platform architecture for Uber AI Solutions, a fast-growing, startup-like organization within Uber. In this role, you will own and drive the design of foundational data infrastructure that enables frontier AI systems to transition from research to production with speed, rigor, and reliability. You will build scalable platforms that integrate expert human input with machine learning to produce high-quality, model-ready datasets for multimodal an