Sr Machine Learning Engineer

About the role and team Engineering at Uber means building for real-world impact under real-world constraints. As a Senior Software Engineer (MLE), you will architect innovative products and scalable systems that keep the marketplace efficient, reliable, and ready for continued growth. Our systems power hundreds of millions of consumers and millions of merchants around the world, and that footprint is expanding rapidly. You will work on uniquely ambitious projects where performance, reliability, and scale cannot be separated. The problems here are complex, the systems are massive, and the pace is fast. You'll need to make smart decisions with imperfect information and own your work end-to-end: from the first design doc to debugging production issues when the stakes are highest. We are looking for technical powerhouses who think in systems, stay calm under pressure, and care about building things that actually work. If you're energized by challenge and motivated by real-world impact-this is where you'll grow. What you'll do Design and build long-lasting engineering artifacts that reduce complexity and increase developer velocity across the organization. Develop and optimize ML models to enhance the efficiency of the delivery marketplace Solve messy, high-impact problems at the intersection of low latency and high correctness, often without a clear starting point or obvious solution. Foresee architectural problems or opportunities and work with leadership to address them before they impact the global marketplace. Lead organization-wide development and adoption of key frameworks while role-modeling coding best practices and high-quality design review. Collaborate cross-functionally with Product, Science, and Ops to translate ambiguous business requirements into production-ready technical roadmaps. Mentor and guide other engineers, acting as a technical brand ambassador and raising the bar for excellence across the engineering organization. Basic Qualifications 5+ years of professional experience in software engineering, data engineering, and applying machine learning, statistics, or optimization techniques to solve large-scale problems. Expertise in writing high-quality code to solve strategically important problems that span multiple organizations. Advanced proficiency in SQL and data warehousing, with a demonstrated ability to identify and reconcile architectural gaps. Experience leading org-wide engineering projects through all lifecycle stages: inception, stakeholder engagement, implementation, and operations. Proven track record of overseeing incident management processes and directing on-call rotations in alignment with global best practices. Demonstrated ability to make sound engineering/business tradeoffs, considering long-term implications for the greater good of Uber. Bachelor's or Master's degree in Computer Science, Engineering, or equivalent practical experience. Preferred Qualifications Experience building high-performance, scalable distributed systems at a 100M+ user scale. Experience in designing and crafting scalable, reliable, maintainable and reusable ML solutions using deep-learning techniques and statistical methods. Expertise in real-time streaming frameworks (Flink, Spark) and OLAP systems (Apache Pinot, Druid) to reduce system complexity. Experience with Big Data/Hadoop ecosystem tools used to automate complex data orchestrations across multiple product areas. Strong leadership traits: Experience serving as a representative for the organization to the broader internal and external technical community. Proven ability to get alignment and buy-in for large-scale technology transformations across multiple job functions. For San Francisco, CA-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year. 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. Ready 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 protec