Uber - San Francisco, CA

posted 3 months ago

Full-time - Mid Level
Remote - San Francisco, CA
Transit and Ground Passenger Transportation

About the position

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. In this role, you will innovate on machine learning and optimization solutions to solve high-impact business problems. You will be responsible for productionizing modeling solutions into scalable and robust systems and collaborating with cross-functional and cross-team stakeholders to ensure the success of these initiatives. The ideal candidate will have a strong background in engineering and a passion for applying advanced analytical techniques to real-world challenges.

Responsibilities

  • 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

Requirements

  • Bachelor's degree in Computer Science, Engineering, Mathematics or related field
  • 5+ years of full-time engineering experience
  • Proficiency in programming languages such as C, C++, Java, Python, or Go
  • Experience with machine learning and optimization algorithms

Nice-to-haves

  • PhD in Computer Science, Engineering, Mathematics, Statistics or related field
  • 2+ years of full-time engineering experience
  • Experience with translating vague business problems into ML + Optimization formulations
  • Experience with large-scale training and data systems (e.g. Spark/Hive)
  • Experience with building algorithmic solutions in production

Benefits

  • Participation in Uber's bonus program
  • Eligibility for equity awards
  • Various health and wellness benefits
  • Paid time off and holidays
  • Professional development opportunities
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