Sr Machine Learning Engineer- Maps Optimization

Job-ID: 303600Category: EngineerLocation: San Francisco, CA, United States; Sunnyvale, CA, United StatesSchedule: Full time, Level 5Posted: 2026-10-14About the RoleThe Maps Optimization team builds and maintains the foundational stack powering the full user journey on the Uber map, including location search, ETA calculation and routing. Our technology leverages advanced machine learning models and high-throughput scalable infrastructure capable of serving millions of QPS. The work of the team influences Uber’s core business performance in a meaningful way and is highly visible to the executive leadership team.We are looking for a highly motivated, entrepreneurial machine learning engineer to join the Maps Optimization team. As a senior machine learning engineer, you will design, build, and optimize large-scale ML systems and models to improve efficiency and travel experience across millions of daily trips worldwide.Basic Qualifications5+ years of experience in the domain of machine learning, or 2+ years if you have a PhD2+ years of experience in one or more of the following areas: machine learning, artificial intelligence, optimization, signal processing, operational research, or related technical fieldsExperience developing, debugging, and scaling distributed data processing and ML pipelines (e.g., Apache Spark, Hive, Presto, Michelangelo)Knowledge of development and debugging in Java, Scala, or Golang, and experience with scripting languages such as Python and/or shell scriptsExperience in technical leadership, working with teams, owning projects, defining and setting technical direction for projectsBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experiencePreferred QualificationsExperience architecting large scale, production software applicationsExperience productionizing applied machine learning solutions (e.g., graph/graphless prediction, learning to rank) toward solving complex ML challengesMasters degree or PhD in Computer Science or a related technical fieldWhat the You Will DoDevelop and deploy end-to-end machine learning models and infrastructure to optimize Uber map related applicationsDesign and maintain high-throughput, low-latency prediction systems and APIs handling hundreds of billions of daily requestsExplore novel ideas towards improving Uber's logistical efficiency across its product verticalsPartner with product managers, scientists, designers, and engineers to develop holistic solutions to real world problemsYou might thrive in this position if you:Have extensive prior experience building and maintaining production machine learning systemsOwn problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job doneHave the ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlinesResponsibilitiesFor San Francisco, CA-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year.For Sunnyvale, CA-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 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.About the companyReady to Ride?This isn't the kind of place where you follow a playbook — it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves — we'd love to hear from you.You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.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.