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Manager - Ranking Science and Algorithms

Netflix, Los Gatos, California

Leading subscription service for watching TV episodes and movies


Netflix is seeking an interdisciplinary machine learning leader to help us imagine the next version of our globally-deployed recommendation algorithms. Is that you?     
 
Some examples of the problems you might tackle in your new role:
 
- How do we leverage our data to choose a small, relevant, and diverse subset of titles from our extensive catalog to present to each user? And how do we do this in half a second or less each time…. billions of times a day?
- How do we improve search so that it surfaces the most relevant titles based on a query the user enters and also perhaps based on the user's viewing history itself as well?
- How do use the above systems to also inform our catalog and decide which new content to purchase for our members and better understand the distribution and density of our current catalog?
 
Netflix is a fact-based, analysis-driven organization: The improved algorithms you develop will be A/B tested quickly and rigorously and you will have direct, measurable impact to the bottom-line. Remember: At Netflix, everything is a recommendation!

As Manager of Ranking Science and Algorithms, you will…

  • Lead a world-class team of machine learning researchers with an extensive track record in industry and/or academia.
  • Bring a combination of mathematical rigor and innovative algorithm design to create recipes that extract relevant insights from billions of rows of data to meaningfully improve user experience.       
  • Learn, develop, and apply new techniques in the intersection of math, probability, and optimization.       
  • Translate unstructured, complex business problems into an abstract mathematical framework, making intelligent approximations when needed to put your algorithm to work at scale.
  • Work closely with various product development engineering teams to solve key personalization, discovery and search problems.
  • Collaborate with an audience that includes Directors, Vice-Presidents and the Chief Product Officer.

Qualifications:

  • Leadership experience focused on machine learning, personalization, recommendation, search and consumer data. Industry experience preferred, publications are a plus
  • PhD degree in Computer Science, Statistics, Operations Research, Mathematics, or related field.
  • Strong background in machine learning and related sub-areas including ranking, personalization, search, recommendation, explore/exploit, causal learning, reinforcement learning, deep learning and probabilistic modeling.        
  • 10+ years of research experience with 2+ years of industry leadership experience.
  • Proven track record of leveraging large amounts of data to solve real-world problems.
To learn more about our research and analytics work, you can visit our research page here.

About Netflix

Netflix is the world’s leading Internet television network with over 100 million members in over 190 countries enjoying more than 125 million hours of TV shows and movies per day, including original series, documentaries and feature films. Members can watch as much as they want, anytime, anywhere, on nearly any Internet-connected screen. Members can play, pause and resume watching, all without commercials or commitments.

Want to learn more about Netflix? Visit Netflix's website.