Netflix is one of the world's leading entertainment services, with over 300 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
At Netflix, our mission to entertain the world is anchored in our content, and data is a crucial component in shaping our business strategy. We focus on creating analytical products that support partners in their complex and nuanced decision-making processes. We are a highly collaborative team that partners across Netflix to drive impact for our members.
Our work in Data Science, Experimentation, and Causal Inference research drives improvements across multiple areas of our business, including commerce, content, studio, and product development. This research supports product innovation, deepens our understanding of members, and informs content evaluation, creation, and promotion. To do this, we leverage a diverse set of methodologies, ranging from machine learning and statistics to econometrics, optimization, and operations research.
Who are you?
Currently pursuing a PhD degree at an accredited university, graduating in December 2026, Summer 2027 or later.
To be intern-eligible, you must be returning to school for one semester or quarter post-Summer internship.
Engaged in relevant research into online experimentation (sequential, adaptive, etc), observational 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 statistical methods to truly massive data sets.
You will have the opportunity to present your work at key internal forums within Netflix.
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 culture.
Internships are paid and are a minimum of 12 weeks, with a choice of a few fixed start dates in May or June 2026 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 here.
Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity 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.