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Uber Staff ML Engineer in San Francisco, California

About the Role

Uber Marketplace is at the core of Uber's business, and Marketplace Intelligence aims to mitigate negative customer experience and perception through intelligence. The mission of the team is to foster growth and reduce user churn at Uber by pushing the frontiers of machine learning, data science and economics and developing highly reliable and scalable platforms to accelerate Uber's impact on the transportation industry.

This role will drive high-impact projects to optimize consumer marketplace experiences at Uber using optimization, machine learning, and causal inference. We are looking for individuals who not only excel in problem solving and critical thinking, but also are interested and proficient in writing production code, converting ideas to scalable systems.

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

  • Innovate on ML + optimization solutions to solve high-impact business problems

  • Productionise modeling solutions into scalable and robust systems

  • Collaborate with cross-functional and cross-team stakeholders

---- Basic Qualifications ----

  • Bachelor'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

For San Francisco, CA-based roles: The base salary range for this role is USD$218,000 per year - USD$242,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$218,000 per year - USD$242,000 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.

Uber is proud to be an Equal Opportunity/Affirmative Action 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- https://docs.google.com/forms/d/e/1FAIpQLSdb_Y9Bv8-lWDMbpidF2GKXsxzNh11wUUVS7fM1znOfEJsVeA/viewform

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