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Machine Learning Scientist In Los Gatos – Netflix internships – Netflix

Website Netflix

Job Description:

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 in more than 190 countries around the world. We produce hundreds of new series, movies, documentaries, stand-up specials, and content across various other categories 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.

Job Responsibilities:

  • Develop and execute on the overall roadmap for model-driven content understanding, identifying milestones & checkpoints that support iteration, learning & progress
  • Develop proof of concept solutions to draw early feedback from creative executives and content and studio strategy partners
  • When appropriate, partnering with Product teams & Engineering to get models deployed and operational in end-to-end solutions used by the Netflix Studio
  • Develop foundational machine learning models that enable parsing and modeling of text assets (e.g. named entity recognition to support a host of script-based ML applications)
  • Extend techniques that traditionally work well for English language text assets to support other languages in which Netflix creates and produces content

Job Requirements/Qualifications:

  • You are excited about using machine learning to unlock insights about how our members engage with our content or how our content is produced. You are energized by the opportunity to use ML to understand content.
  • You have strong experience with Natural Language Processing / Understanding and/or Computational Linguistics.
  • You thrive in ambiguity and have strong prioritization skills. You combine a strong sense of business impact with great judgment around how to make iterative progress.
  • You have an MSc or PhD with 6+ years of Applied ML research and development. You have deployed large-scale, innovative ML solutions that have successfully delivered business value from conception to production.
  • You excel in at least one major programming language (e.g., Python) and ML/DL framework (e.g.,  PyTorch, TensorFlow, Keras).

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