Senior Machine Learning Engineer, Rider ExperienceJoin to apply for the Senior Machine Learning Engineer, Rider Experience role at UberSenior Machine Learning Engineer, Rider ExperienceJoin to apply for the Senior Machine Learning Engineer, Rider Experience role at UberGet AI-powered advice on this job and more exclusive features.About The RoleRider Experience drives and enables the critical trip booking funnel within the Rides app that makes up almost all of the trip transactions and contributes tremendously to business growth. We actively explore algorithmic improvements to how we help millions of riders find and discover the right products every hour to move around the world, and power smart and intuitive experiences for them.About The RoleRider Experience drives and enables the critical trip booking funnel within the Rides app that makes up almost all of the trip transactions and contributes tremendously to business growth. We actively explore algorithmic improvements to how we help millions of riders find and discover the right products every hour to move around the world, and power smart and intuitive experiences for them.Senior Software engineers at Uber are passionate and pragmatic technologists who are able to translate business insight and goals into well-formulated ML projects and scalable solutions to deliver impact. They are not only collaborative role models but also approachable leaders, humble teachers while also effective in helping the team in project execution. You will work with talented people in product, science, operations, and platform teams to help build and optimize our Rider Experience products. The role requires technical chops as well as strong communication & leadership skills.What You'll DoDefining and driving ML solutions for key strategic problems in the space of product recommendations and merchandising: help riders find and complete rides with the right products, trying to understand their intent and context while attending to Uber's business goals, marketplace conditions and efficiencies.Raise the bar of ML engineering by improving best practices, producing exemplary code, documentation, automated tests and thorough and precise monitoring.Provide technical leadership to a passionate, experienced, and diverse engineering team. Manage project priorities, deadlines and deliverables and design, develop, test, deploy and maintain ML solutions.Partner with product owners, data scientists and business teams to translate key insights and business opportunities into technical solutionsBasic QualificationsMS or equivalent experience in Computer Science, Engineering, Mathematics or related field5+ years of experience in software engineering with an emphasis on data-driven methodologies and online experimentationStrong problem-solving skills, with expertise in ML methodologiesExperience in applying ML, statistics, or optimization techniques to solve large-scale real-world problems (e.g. ads tech,search, recommendation systems, ranking/retrieval, or representation learning)Industry experience in ML frameworks (e.g. Tensorflow, Pytorch, or JAX) and complex data pipelines; programming languages such as Python, Spark SQL, Presto, Go, JavaPreferred Qualifications7+ years of experience in software engineering with an emphasis on data-driven methodologies and online experimentationBackground in search, recommendation systems, ranking/retrieval, or representation learning is highly desirable.Hands on experience with Deep Neural Networks, Transformers, etcInnate truth-seeker who values and produces analytic evidence and insight, as well as translating them and business goals into technical problems and solutions.2+ years of experience working in a cross-functional and/or cross-business projects, partnering with Product, Scientists, and cross-org leads to shape the team's strategiesPassionate about helping junior members grow by inspiring and mentoring engineersPhD degree in Computer Science, Engineering, Mathematics or related fieldFor San Francisco, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 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. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.Seniority levelSeniority levelMid-Senior levelEmployment typeEmployment typeFull-timeJob functionJob functionEngineering and Information TechnologyIndustriesInternet Marketplace PlatformsReferrals increase your chances of interviewing at Uber by 2xGet notified about new Machine Learning Engineer jobs in San Francisco, CA.San Francisco, CA $160,000.00-$180,000.00 2 weeks agoFull-Stack Software Engineer (Jr/Mid level)San Francisco, CA $120,000.00-$180,000.00 1 month agoSan Francisco, CA $150,000.00-$230,000.00 3 months agoSoftware Development Engineer I - Frontend & MobileSan Francisco, CA $150,000.00-$176,000.00 3 months agoSan Francisco, CA $120,000.00-$190,000.00 9 months agoSan Francisco, CA $150,000.00-$180,000.00 2 days agoSan Francisco, CA $125,000.00-$175,000.00 1 month agoSoftware Engineer, Frontend (All Levels)San Francisco, CA $150,000.00-$220,000.00 6 days agoWalnut Creek, CA $115,000.00-$135,000.00 6 days agoSan Francisco, CA $165,000.00-$165,000.00 2 years agoAlameda, CA $130,000.00-$160,000.00 1 month agoSan Francisco, CA $140,000.00-$280,000.00 8 months agoSan Francisco, CA $120,000.00-$200,000.00 2 years agoSan Francisco, CA $150,000.00-$300,000.00 1 month agoSan Francisco, CA $150,000.00-$250,000.00 10 months agoWe’re unlocking community knowledge in a new way. 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