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Senior Machine Learning Engineer, Content Knowledge Graph

Netflix, Los Angeles, California

Leading subscription service for watching TV episodes and movies

Duration: Full-Time


Netflix is revolutionizing the entertainment industry with world-class technology. We are both a content distributor and a producer for original and premium shows. We serve millions of subscribers worldwide in more than 190 countries around the world. We produce hundreds of new series, movies, documentaries, stand-up specials, and other categories of content each year. Because of our global footprint, we are able to elevate new types of creators, tell a diverse set of stories and inspire a global audience. 

The Content Knowledge Graph team, within Data Science and Engineering, plays a central role at the company and supports critical decisions such as predicting the value of content and understanding how key elements contribute to a title’s success. Arming our demand prediction and creative teams by mapping the world’s content improves both the efficiency and accuracy of decision-making and helps Netflix produce more hits and member joy at better economics. 

The team consists of a mix of machine learning scientists (ML), ML engineers, data engineers, software engineers, and data specialists. As an ML Engineer on the Content Knowledge Graph team, you will use world-class engineering and machine learning techniques on real-world, internal, and external big data to directly impact the evolution of our content catalog.

Challenges you'll tackle:

  • You will build and deploy robust ML/DL models that improve entity extraction, classification, resolution, and disambiguation within the CKG across multiple languages (e.g. English, Korean, etc.).
  • Collaborate with technical and non-technical business partners to develop analytics and metrics that describe the performance of matching systems and quality of our data.
  • Collaborate with data engineers, ML applied scientists, software engineering, data specialists, analytics & UX engineers to support tooling for an increasing number of CKG use cases within Netflix.

About you:

  • You are excited about using ML to build the world’s largest content knowledge graph.
  • You have a MS or PhD in Machine Learning, Computer Science, Applied Statistics, Mathematics, or related field - PhD is a plus!
  • You excel in at least one major coding language (e.g. Python) and ML/DL framework (e.g.  PyTorch, TensorFlow, Keras), and are familiar with SQL (any variant). Experience with big-data tech (e.g. Spark) and distributed environments are a plus!
  • You have built production ML models and systems. Experience leading cross-functional teams on strategic ML product initiatives from conception to production is a big plus! 
  • You have excellent communication skills and the ability to translate business intuition into data-driven hypotheses that result in impactful engineering solutions.
  • Experience in Natural Language Processing techniques for entity resolution, disambiguation, and linking, along with experience in Graph ML are pluses.
  • Having conducted research and published peer-reviewed articles in the field (NLP, Graph ML, Knowledge Graphs) is a plus. 
  • Experience working with graph data models (RDF, Property), databases (Amazon Neptune, Neo4J, TigerGraph), or graph query languages (Gremlin, SPARQL, Cypher) is a plus!

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.