Über
Experience in core machine learning areas, including: Foundational Science:
Practical experience in supervised and/or unsupervised ML, data science methods, ML operations, and familiarity with Large Language Models or Reinforcement Learning. Software Engineering:
Comfortable with software engineering best practices, including version control, testing, and code reviews. End-to-End Systems:
Knowledge of end-to-end machine learning pipelines (e.g., training or production deployment) and challenges such as model explainability.
Demonstrated experience with programming and machine learning through projects, coursework, or research.
Proficiency in programming languages such as Python, Java, Scala, or Spark.
Familiarity with ML frameworks and libraries such as Pandas, NumPy, or Scikit-learn.
A curious, self-motivated mindset, eager to tackle open-ended challenges at Netflix.
Excellent communication skills, both verbal and written.
Must intend to return to your degree program following the internship.
Application Process: After submitting your application, you will receive an Airtable form. Completing this form is necessary for your application to be considered complete.
Please include a resume or CV that details your contact information (email, phone, mailing address) along with relevant coursework and publications (if applicable). You will also need to provide a short statement explaining your research experiences and interests, and how they relate to Netflix Research.
Applications are reviewed on a rolling basis; we encourage early applications since the opportunity will remain open until positions are filled.
Internship Program Overview: This paid internship will last a minimum of 12 weeks, with start dates available in January 2026 (Winter), or May or June 2026 (Summer) to accommodate different school calendars. Summer internships will be primarily located at our headquarters in Los Gatos, CA, with limited options available in Los Angeles or New York, depending on the team. This program is geared towards students who will continue their education for at least one semester following the internship. While conversion or return offers depend on business needs, they are not guaranteed. At Netflix, we take the time to ensure fair compensation based on a variety of factors and market indicators. Intern compensation typically ranges from $40/hour to $85/hour, reflecting your specific skills and experience. Diversity and inclusion are integral to our culture at Netflix. We welcome all applicants and strive to provide an equitable interview experience. Accommodations can be made for candidates with disabilities or other specific needs. We are proud to be an equal-opportunity employer, celebrating diversity and building stronger teams. We commit to a discrimination-free workplace, valuing individuals regardless of their background. This position will remain open for a minimum of 7 days and will be closed once filled.
Sprachkenntnisse
- English
Hinweis für Nutzer
Dieses Stellenangebot stammt von einer Partnerplattform von TieTalent. Klicken Sie auf „Jetzt Bewerben“, um Ihre Bewerbung direkt auf deren Website einzureichen.