Experimentation & Causal Inference Intern, Summer 2025

2 Months ago • Upto 1 Years • $40 PA - $110 PA

About the job

Job Description

Netflix is seeking an Experimentation & Causal Inference Intern to join its Data Science & Engineering team. The intern will work on real-life decision-making challenges, contributing to the development of innovative solutions for the company's content strategy. The role involves collaboration with other data scientists and engineers, as well as the opportunity to present findings at internal forums. The intern will gain experience in applying inference methods to large datasets and learn about Netflix's global entertainment business.
Must have:
  • Currently pursuing a PhD degree
  • Engaged in research into online experimentation, causal inference, or related areas
  • Experience programming in R and/or Python
  • Great communication skills
  • Past publications in relevant conferences or journals
  • Comfortable with SQL
  • Experience with version control systems such as git

Netflix is one of the world’s leading entertainment services with 278 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

The Role

Our mission to entertain the world is anchored in our content, and data is a crucial component in shaping our comprehensive content strategy. We focus on creating analytical products that support our content partners in their complex and nuanced decision-making processes. We are a highly collaborative team that partners across Netflix to drive impact.

To support experimentation at scale, we continuously invest in our that supports contributions of metrics and inference methods from users of all backgrounds, and permits experimenters to use these building blocks to develop flexible and powerful workflows. We are always looking to improve our decision making capabilities by exploring, developing, and implementing new approaches to the design and analysis of randomized experiments, and by leveraging approaches from causal inference.  

Who are you?

  • Currently pursuing a PhD degree at an accredited university and eligible to work as a summer intern in the USA, graduating in December 2025, Summer 2026 or later

  • Engaged in relevant research into online experimentation, sequential experimentation, adaptive experimentation, causal inference, or a related area.   

  • Experience programming in R and/or Python.

  • Curious, self-motivated, and excited about solving open-ended challenges at Netflix.

  • Great communication skills, both oral and written. 

  • Past publications in relevant conferences or journals.

  • Comfortable with SQL.

  • Experience with version control systems such as git.

What could you learn?

  • You will learn about real-life decision-making challenges at Netflix, and help us develop innovative solutions.

  • You will learn broadly about how the Data Science and Engineering (DSE) department at Netflix strengthens and helps optimize all aspects of our global entertainment business. 

  • You will collaborate with stunning colleagues in the Data Science & Engineering organization and beyond.

  • You will hone your skills manipulating and applying inference methods to truly massive data sets. 

  • You will have the opportunity to present your work at key internal forums within Netflix. 

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. 

  • A short (max one page) statement describing your research experiences and interests, and their relevance to Netflix Research. For inspiration, have a look at the .

Internships at Netflix

At Netflix, we offer a personalized experience for interns, and our aim is to offer an experience that mimics what it 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. Netflix is a unique place to work and we live by our values, so it's worth learning more about our .

Internships are paid and are a minimum of 12 weeks, with a choice of a few fixed start dates in May or June 2025 to accommodate varying school calendars. Conditions permitting, our summer internships will be located in our Los Gatos, CA office, or in our Los Angeles, CA office, depending on the team.

At Netflix, we carefully consider a wide range of compensation factors to determine the Intern top of market. We rely on market indicators to determine compensation and consider your specific job, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location.

The overall market range for Netflix Internships is typically $40/hour - $110/hour.

This market range is based on total compensation (vs. only base salary), which is in line with our compensation philosophy. Netflix is a unique culture and environment. Learn more .

We are an equal-opportunity employer and celebrate 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, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

View Full Job Description
$40 - $110/yr (Outscal est.)
$75/yr avg.
Los Gatos, California, United States

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About The Company

Netflix is one of the world's leading entertainment services with over 247 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

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