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 the personalization of how entertainment is presented to our more than 220 million members around the globe.
Applied Machine Learning Research at Netflix improves various aspects of our business, including personalization algorithms, media and content understanding, search, systems optimization, content valuation, tooling for artists, and streaming video optimization. As such, our research spans many Machine Learning areas, including recommender systems, causal inference, reinforcement learning, computer vision, computer graphics, natural language processing, optimization, operations research and systems. Great applied research also requires great Machine Learning infrastructure, another large area of emphasis at Netflix.
In Fall 2023, Netflix will be hosting a small number of Machine Learning Research internships and Machine Learning Engineering & Infrastructure internships. Applicants are encouraged to express their interest in one or both types of internships.
This internship can be remote. We are seeking individuals who are able to work full-time hours (40 hours a week) for 12 weeks between the fall of 2023 and spring of 2024.
We are looking for individuals with the following qualifications:
Must have:
- Currently enrolled PhD in the Machine Learning space, preferably specializing in Natural Language Processing.
- Ideally some experience with (controllable) text generation, text generation at scale, or text generation evaluation.
- Experience programming in at least one programming language (e.g. Python, Scala, Java or C/C++).
- Curious, self-motivated, and excited about solving open-ended challenges at Netflix.
- Great communication skills, both oral and written.
Nice to have:
- Publications in relevant conferences or journals.
- Comfortable with software engineering best practices (e.g. version control, testing, code review, etc.).
In order for your application to be considered complete:
- You will be sent an Airtable form shortly after you submit your application on our careers site; your application will not be considered complete until you fill out and submit this form.
- Include a Resume or CV with complete contact information (email, phone, mailing address) and a list of relevant coursework and publications (if applicable).
- You will be asked to include 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. In this statement, please include the approximate dates you might be able to work full-time hours (40 hours a week) for 12 weeks between the fall of 2023 and spring of 2024.
The Netflix Internship:
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 during the Netflix internship. 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 an expectation of working 40 hours per week.
At Netflix, we carefully consider a wide range of compensation factors to determine internship top of market. We use market indicators to determine compensation and consider your specific internship team, degree, and years of education 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 hourly rate), which is in line with our compensation philosophy. Netflix is a unique culture and environment. Learn more here.
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.