Rider 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 Uber's business growth
Requirements
MS or equivalent experience in Computer Science, Engineering, Mathematics or related field
3+ years of experience in software engineering with an emphasis on data-driven methodologies and online experimentation
Strong problem-solving skills, with expertise in ML methodologies
Experience 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, Java
Background in search, recommendation systems, ranking/retrieval, or representation learning is highly desirable
Hands on experience with Deep Neural Networks, Transformers, etc
Responsibilities
Defining 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 solutions
Other
MS or equivalent experience in Computer Science, Engineering, Mathematics or related field
3+ years of experience in software engineering
Strong communication & leadership skills
Passionate about helping junior members grow by inspiring and mentoring engineers
PhD degree in Computer Science, Engineering, Mathematics or related field
