**About the Role** Are you passionate about shaping business and product strategy through the power of data? Do you thrive on solving complex problems and uncovering actionable insights that drive innovation? If so, this role might be the perfect fit for you. Principal engineers at Uber have a deep impact across a wide variety of business and technology decisions spanning multiple programs, projects and locations. They are passionate and pragmatic technologists who are able to design and architect highly-available, secure scalable and resilient systems while delivering efficient code. They are not only collaborative role models, but also approachable leaders with a point of view within a larger group.  They are humble teachers, technically mentoring a team of passionate engineers while also delivering uniquely challenging projects. A Principal-level Engineering role at Uber is special, representing  the top 2% of Engineers at Uber. The Marketplace Engineering team is looking for an exceptional Principal Engineer with deep ML/AI experience, and a passion for solving impactful business problems through secure, reliable and scalable technology platforms. **What You’ll Do** - Strategize and drive our Driver incentives, Marketplace Signals, and Driver positioning ML/AI platform and architecture, focusing on support automation, along with scalability, reliability, performance, and cost efficiency - Collaborate with product and operations teams to understand business requirements and translate them into robust solutions - Collaborate with internal ML/AI infra teams at Uber to build and deploy AI solutions that have a meaningful impact to the business - Develop and enforce best practices in system design, ensuring data integrity, security, and optimal performance - Serve as a representative for the Marketplace organization to the broader internal and external technical community - Contribute to the eng brand for Marketplace and serve as a talent magnet to help attract and retain talent for the team - Stay abreast of industry trends and emerging technologies in software engineering, focused particularly on ML/AI, to enhance our systems and processes continually **What You’ll Need** - Ph.D., M.S. in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields - Minimum of 10 years of experience **Bonus Points If** - Experience developing and launching ML products at scale - Deep knowledge of ML  and an understanding of the latest innovations in the domain - Experience with large scale consumer-facing products - Experience working cross-functionally with Product Management, Data Science, and  Business stakeholders - Strong business acumen, exceptional analytical thinking, and the ability to influence decision-making at all levels. - Outstanding storyteller with a talent for articulating a compelling vision that integrates principled decision-making, user empathy, and data-driven insights. **About the Team** The [Uber Marketplace](https://www.uber.com/us/en/marketplace/?uclick_id=2865c29d-7207-4c2d-80a5-29617f789889) is designed to move riders & drivers efficiently from where they are to where they want to go. Every dollar that is transacted in the Uber Marketplace (driver forecasting, dynamic pricing fares, matching driver/rider pricing, and overall marketplace health) is informed and influenced by data – and our Data Science team understands, analyzes, and helps design the algorithms that enable millions of earners and consumers to ride, deliver, eat, and move daily. Uber operates in a constantly-evolving and competitive environment, across a diverse set of markets and product categories. Assessing the success or failure of a product or investment strategy depends on deeply understanding this context and quantifying the impact with thoughtfully-defined success metrics. Doing this - and doing it well - at Uber’s global scale is an interesting and complex problem with meaningful impact on our P&L. The Marketplace Data Science team applies their expertise in statistical modeling, machine learning, economics, data analysis, and business strategy to build scalable data platforms, generate actionable insights, and drive our algorithm and product development decisions. For San Francisco, CA-based roles: The base salary range for this role is USD$284,000 per year - USD$315,500 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link [https://www.uber.com/careers/benefits](https://www.uber.com/careers/benefits). Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing [this form](https://forms.gle/aDWTk9k6xtMU25Y5A). 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.