Netflix Los Gatos, CA, USA
Dec 04, 2019Intern
There are two parts to this application: you must complete this page and the Google Form linked here . 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. In order for your application to be considered complete, please include: Resume or CV with complete contact information (email, phone, mailing address) and a list of relevant coursework and publications (if applicable). A short (max one page) statement describing your research experiences and interests, and (optionally) their relevance to Netflix Research. For inspiration, have a look at the Netflix research site . Contact information (email address, phone number, website) for two references, one of whom is your academic advisor. Location preference (Los Gatos and/or Los Angeles). And please complete the google form linked here . Our approach to internships is different: like Netflix itself, we offer a personalized experience for interns, and our aim is to offer an experience that mimics what’s is like to actually work here. We match qualified interns with projects and groups based on interests and skill sets, and fully embed interns within those groups for the summer. We have projects that span Machine Learning, Experimentation and Causal Inference, Analytics, and Data Engineering (learn more at research.netflix.com ), and we want to want to hear from you. Netflix is a unique place to work and we live by our values, so it's worth learning more about our Culture . Internships will be a minimum of 12 weeks, with timing flexible to candidate needs. This will be a paid internship. Travel and housing support will be provided in the intern offer package. Travel will include domestic roundtrip airfare costs to/from the school to Netflix. Housing support will be provided via stipend or corporate housing (based on availability). Additional details on these benefits will be provided to the Intern prior to their first day. Interviews will begin in January 2020. There are two parts to this application: you must complete this page and the Google Form linked here ( Be sure to select HBCU 20x20 ) Netflix is an equal opportunity employer that celebrates diversity, recognizing that diversity of thought and background builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.