Senior Staff ML Engineer- Rider Personalization

| San Francisco, CA
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About the Role
Sr Staff Engineers at Uber are expected to have a deep impact on a wide variety of technology decisions, spanning many projects across an entire org, and in many cases multiple orgs. We are looking for a technologist who has experience building consumer products at scale.
Rider Product Selector is the surface in Uber Rider App where users get to view and compare available offerings and check out their rides. The Product Selector team focuses on creating an assistive experience using data-driven technologies and machine learning optimizing for multiple business goals (gross bookings, conversion, time to convert, etc). The person who takes this role will need to define the future technology roadmap for Uber's most critical checkout product.
What You'll Do

  • Lead ML efforts for the Rider organization
  • Drive open-ended projects from end to end, with exceptional execution
  • Thrive in ambiguous product requirements
  • Collaborate with Product Managers and Data Scientists closely.
  • Make data driven decisions
  • Be motivated to own projects and push them forward with independence. Most importantly, have a passion to make Uber better for our Enterprise, Mid market and SMB customers
  • Develop an excellent understanding of Uber's business strategy and goals, and the Rider org's product and design goals such that you will be one of our key leaders expected to identify and solve our highest impact, highly complex problems.
  • See the big picture and identify inefficiencies and opportunities for meaningful improvements across the entire Rider org and Uber as a whole. Drive alignment on how to tackle these and lead the delivery of high leverage solutions for them to have the widest impact.
  • Raise the bar to make Uber engineering truly best-in-class by improving best practices, producing exemplary code, documentation, automated tests and thorough and precise monitoring.
  • Sr Staff level engineers at Uber are exceptional mentors. They are trusted advisors for both team members and leaders alike.

Basic Qualifications

  • 7+ years of industry experience with a PhD in relevant fields (CS, EE, Math, Stats, Physics, etc.) or 10 Minimum Years of industry experience with a master or bachelor degree.
  • 3+ years of experience on Machine Learning, Statistics, Optimization and Data Mining.
  • Expertise in one or more object-oriented languages, including C++, Java, Python, Go or Scala.
  • Experience with ML frameworks such as PyTorch and TensorFlow etc

Preferred Qualifications

  • Proven experience in simplifying/converting business problems into ML problems.
  • Experience in large scale causality learning and/or deep learning.
  • Experience developing complex software systems scaling to millions of users with production quality deployment, monitoring and reliability.
  • Experience presenting at industry recognized ML conferences and a good publishing record.
  • Proven ability to communicate technical knowledge to a business audience
  • Collaborative attitude and constructive approach
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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