Netflix Research Summer Internship

Job description

There are two parts to this application: you must complete this page and the Google Form linked **[here](https://docs.google.com/forms/d/e/1FAIpQLSemPaQ3MYPf9NRITwNu_RpuNKrPXsB--GiWdgJcVJ0zTlukFg/viewform)**. Netflix is reinventing entertainment from end to end. We are revolutionizing how shows and movies are produced, pushing technological boundaries to efficiently deliver streaming video at massive scale over the internet, and continuously improving and personalizing how content is presented to our more than 150 million members around the globe.  Applied Research at Netflix is aimed at improving various aspects of our business. Applications areas include personalization algorithms, content valuation, streaming video optimization, and research in support of product innovation to improve the Netflix experience for our members. Our work spans many domains, including Machine Learning, Experimentation and Causal Inference, Operations Research, and Audio/Video Encoding. This research is enabled by foundational work in Data Engineering and Analytics that transforms data into actionable insights.  In 2020, Netflix Research will be hosting a small number of summer interns, growing upon our positive experiences from previous summers. We are looking for individuals with subsets of the following qualifications:
·  Student in a STEM field engaged in ongoing research at an accredited university and eligible to work in the USA. 
·  For Machine Learning & Statistics oriented internships, we will primarily consider graduate students (PhD students preferred). 
·  Prior applied experience with statistics or machine learning.
·  Experience programming in at least one language.
·  Curious, self-motivated, and excited about solving open-ended challenges at Netflix.
·  Great communication skills, both oral and written. 
·  Experience with version control, e.g. git.
·  Experience with distributed computing.
·  Comfortable writing SQL queries or Spark.