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Uber AI's mission is to optimize and innovate Uber's products and business using machine learning and AI. The group consists of Uber's machine learning platform team which enables machine learning at scale, AI building blocks which enable product teams to build unique experiences and engagements with product teams on their business problems. The group consists of machine learning engineers, mobile engineers, backend engineers and research scientists and engineers. About the Role As an engineer on the team, you will be building mobile libraries and components around collection and in-app use of phone sensors. This data collected here enables some of the most important parts of Uber's business - Fares, Matching, Safety, Pickup Experience, and more. Additionally, as we look to move more of machine learning to mobile devices, you will be working closely with the mobile and ML engineers to enable this. What You'll Do Design and build libraries that are used in all Uber apps (Rider, Driver, Eats, Freight, etc) used by millions of people Work closely with backend developers, cross platform developers like navigation/mapping etc to build Uber's core location + sensor SDKs and libraries. These libraries are used by various product teams. Work closely with research engineers in integrating some advanced algorithms on mobile. Evaluate and build solutions for doing ML at scale Collaborating with product and data science to execute short term and longer term projects, design experiment plans, roll out plan and coordinate roll outs. Basic Qualifications 4+ years of full-time engineering experience Proven expertise in Java code Experience designing apps, frameworks or SDK Preferred Qualifications Experience with writing, releasing, maintaining mobile code Experience analyzing a feature in production using analytics and experiments Experience efficiently collaborating on projects
Vacancy expired!