Staff Machine Learning Engineer - Rider Pricing & Incentives Intelligence

| San Francisco, CA
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About the role:
Engages with stakeholders across teams to lead the design, development, optimization, and productionization of machine learning (ML) or ML-based solutions and systems that are used to solve highly complex or vaguely defined problems. This role also leads efforts across teams to leverage and improve ML infrastructure for model development, training, deployment needs and scaling ML systems.
About the Team:
Uber Marketplace (https://marketplace.uber.com/) is at the core of Uber's business, and pricing and incentives are strategically critical components of Marketplace. The mission of the team is to foster growth and increase profitability of 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.
The team is rapidly growing with high impact and visibility from the top. We are responsible for developing state of the art technology to optimize the pricing and incentives strategy in our platform that directly drives efficiencies and effectiveness across user (riders, drivers, eaters, restaurants, etc) interaction with Uber. We handle a significant trunk of all the pricing and incentives budget we are spending at Uber and we aim to build long-term loyalty among Uber users and create a healthy and balanced ecosystem.
Minimum qualifications:

  • PhD or equivalent in Computer Science, Engineering, Mathematics or related field AND 2-years full-time Software Engineering work experience OR 5-years full-time Software Engineering work experience, WHICH INCLUDES 3-years total technical software engineering experience in one or more of the following areas:


  • Programming language (e.g. C, C++, Java, Python, or Go)
  • Large-scale training using data structures and algorithms
  • Modern machine learning algorithms (e.g., tree-based techniques, supervised, deep, or probabilistic learning)
  • Machine Learning Software such as Tensorflow/Pytorch, Caffe, Scikit-Learn, or Spark MLLib


  • Note the 3-years total of specialized software engineering experience may have been gained through education and full-time work experience, additional training, coursework, research, or similar (OR some combination of these). The years of specialized experience are not necessarily in addition to the years of Education & full-time work experience indicated.

Technical skills:
Required:

  • Deep Learning
  • Scalable ML architecture
  • Feature management


Preferred:

  • Personalization
More Information on Uber
Uber operates in the 3PL: Third Party Logistics industry. The company is located in San Francisco, CA, New York City, NY, Chicago, IL and Seattle, WA. Uber was founded in 2009. It has 21000 total employees. It offers perks and benefits such as Volunteer in local community, Partners with nonprofits, Friends outside of work, Eat lunch together, Intracompany committees and OKR operational model. To see all 65 open jobs at Uber, click here.
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