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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 content is presented to our more than 193 million members around the globe.
Applied Machine Learning Research at Netflix is aimed at improving various aspects of our business, including personalization algorithms, systems optimization, content valuation, and streaming video optimization. As such, our research spans many Machine Learning areas, including recommender systems, causal inference, reinforcement learning, computer vision, natural language processing, optimization and operations research.
In 2021, Netflix Research will be hosting a small number of summer Machine Learning internships, building upon our positive experiences from previous summers. We will only consider candidates that are eligible to work in the USA. We are looking for individuals with the following qualifications:
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 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.
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.
Internships will be a minimum of 12 weeks, with timing flexible to candidate needs.
Must have:
- PhD or MS student in the Machine Learning space.
- Experience with at least one of the following ML areas:
- Recommender systems & personalization algorithms
- Deep Learning
- Fairness
- Reinforcement learning and bandits
- Causal inference
- Computer vision
- Natural language processing
- Optimization
- Operations research
- Conversational AI
- Mathematical optimization
- Experience programming in at least one 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:
- Past publications in relevant conferences or journals.
- Comfortable with SQL or distributed computing environments such as Spark.
- Experience with version control systems such as git.
