Uncubed

Senior Machine Learning Scientist, Content Programming

Netflix, Los Angeles, California

Leading subscription service for watching TV episodes and movies


Who are we?
Netflix is in a totally new phase of its evolution. We are combining the worlds of tech and entertainment to create hundreds of new Netflix titles all over the globe. We are reinventing content categories and breaking down barriers with bold, creative decisions. A critical piece of how we spend billions of dollars on content is identifying which types of content we need to create in the first place; in other words, how do we best program our service? As a scientist on the Content Science & Algorithms team, you will combine best-in-class data science approaches to transform billions of rows of data into recommendations for which types of content we need to create in order to satisfy 100 million current members (and a billion more who aren’t yet members).

Responsibilities:

  • Collaborate with business partners to develop metrics that describe how and why users experience content on the service
  • Apply unsupervised and supervised machine learning to improve our ability to acquire content that satisfies the diverse desires of a global audience
  • Develop data-driven approaches that augment human intuition and decision-making
  • Communicate results to technical and non-technical audiences

Qualifications:

  • PhD degree in Computer Science, Applied Statistics, or related field
  • Strong background in machine learning using supervised and unsupervised methods.  
  • Previous experience with clustering, LDA, and factorization machines is preferred.
  • Experience with Python and good coding practices.  Bonus points for experience with open-source ML packages (specifically sklearn, tensorflow/keras, H2O)
  • Desire and willingness to continue growing your capabilities as a data scientist

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 https://www.netflix.com/