Machine Learning Engineer - Growth

Tubi, Inc.
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Job Description

We are currently mandatory work from home, but for the long-term we would like this hire to be located near San Francisco. 

Responsibilities:

  • Drive new initiatives to help the Growth Marketing team use Machine Learning to optimize different applications: email, push notifications, user acquisition, etc. 
  • Build machine learning algorithms and data pipelines, deploy models to production, test the models online and offline in AB test environments
  • Collaborate with data scientists, growth engineers, data engineering, product managers, and various teams to make sure algorithms can be launched successfully
  • Build the next-generation platform to support our growth efforts across the world

Your Background:

  • Bachelor's degree from an accredited university, or equivalent work experience
  • Master’s or Bachelor’s degree from an accredited university, or equivalent work experience 
  • Master’s degree or PhD from an accredited university, or equivalent work experience
  • 1-3 years of relevant industry experience in machine learning rankings problems: recommendations, search, rankings, email, push notifications, user acquisition algorithms
  • Experience with large-scale datasets, supporting dozens of millions of users
  • Ability to write production-quality code incorporating testing, evaluation, monitoring
  • Familiarity with common machine learning packages: Python, Scala / Spark, AWS, Numpy, Pandas, XGBoost, SKLearn, TensorFlow, etc. 

Company Info.

Tubi, Inc.

Tubi, a division of FOX Entertainment, is an ad-supported video-on-demand service with over 40,000 movies and TV shows, including a growing library of Tubi Originals, 100+ local and live news and sports channels, and 400+ entertainment partners, featuring content from every major Hollywood studio. Tubi gives fans of film, television, news and sports an easy way to discover new content that is completely free.

  • Industry
    Media,Entertainment
  • No. of Employees
    440
  • Location
    San Francisco, CA, USA
  • Website
  • Jobs Posted

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