Uber Staff Software Engineer - Machine Learning 

United States, West Virginia 

740175522

About the Role

- - - - What the Candidate Will Do ----

• 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

- - - - Basic Qualifications ----

• achelor's degree in Computer Science, Engineering, Mathematics or related field
• 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, recommender systems)
• 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

- - - - Preferred Qualifications ----

• 6+ years of experience in software engineering with an emphasis on data-driven methodologies and online experimentation
• Experience in designing and crafting scalable, reliable, maintainable and reusable ML solutions using deep-learning techniques and statistical methods.
• Innate 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 strategies
• Passionate about helping junior members grow by inspiring and mentoring engineers
• Resilience, determination, ownership mindset
• PhD degree in Computer Science, Engineering, Mathematics or related field

* Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to .