**About the Role** Uber’s Delivery Marketplace is at the heart of Uber’s Delivery business and the Logistics Prediction & Optimization team develops the ML models, OR algorithms, signals, and large-scale distributed systems that power real-time Eater Experience and real-time matching decisions for billions of trips. Engineers on the team work on cutting-edge marketplace ML problems and real-time multi-objective optimizations. The team regularly delivers $1B+ to Uber’s revenue growth and $XX M in profits. We are looking for exceptional Staff ML engineers with a track record of extraordinary impact and with a passion for building large-scale systems that optimize multi-sided real-time marketplaces. In this role, you will lead the design, development, and productionization of advanced ML models and matching algorithms, covering deep learning, causal modeling, and reinforcement learning. You will work with talented ML and BE engineers, product managers, and scientists to set the team’s technical direction and solve some of Uber’s most challenging and most complex business problems in order to deliver a magical experience to users improving reliability of Uber Delivery trips. **What You Will Do** 1. Drive technical strategy and roadmap ownership over a 1+ year horizon and own the implementation, including platform-level architecture decisions, executive communication and alignment, technical mentorship, and cross-team technical influence 2. Lead the design, development, and productionization of end-to-end ML solutions for large-scale distributed systems serving billions of trips 3. Develop novel products for online marketplaces combining machine learning for prediction and forecasting, and optimization to to improve business efficiency and the user experience. 4. Lead and mentor a team of MLEs, providing technical leadership, setting the vision, and guiding the team through the end-to-end development process — from ideation to model deployment and scaling. 5. Balance business objectives and user experience by developing objective functions that optimize both business performance and user satisfaction. \-\-\-\- Basic Qualifications ---- 1. Ph.D., M.S. or Bachelor in Computer Science, Mathematics with focus on Machine Learning, or equivalent technical background with exceptional demonstrated impact 2. 6+ years experience leading the development and deployment of ML models in large-scale production environments at top-tier ML companies (e.g. 1M+ predictions/sec or 100M+ users). Track record of delivering outstanding business impact over multiple quarters. 3. Proficiency in programming languages such as Python, Scala, Java, or Go 4. Proficiency with large-scale data systems (e.g. Spark, Ray)/real-time processing (e.g. Flink)/microservices architectures 5. Proficiency in the development, training, productionization and monitoring of ML solutions at scale, ranging from offline pipelines to online serving and MLOps 6. Deep understanding of modern ML algorithms (e.g. DNNs, multi-task models, transformers) and mathematical optimization (e.g. multi-objective, LP, convex optimization) \-\-\-\- Preferred Qualifications ---- 1. Experience developing multi-quarters technical strategies and proficiency owning technical roadmap and leading complex technical projects while substantially influencing the scope and output of others 2. Experience in developing and deploying ML models for multi-sided real-time marketplaces 3. Track record of translating complex business problems into technical solutions and driving multi-functional projects in collaboration with multiple teams 4. Excellent communication skills to lead initiatives across multiple product areas and collaborate effectively with cross-functional teams 5. Proficiency in causal machine learning/ reinforcement learning For New York, NY-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link [https://jobs.uber.com/en/benefits](https://jobs.uber.com/en/benefits). Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together. Uber is proud to be an Equal Opportunity 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.