Location: Los Gatos, CA
At Netflix, our mission is to entertain the world by connecting our members to an extensive library of amazing stories from all over the globe. We are revolutionizing storytelling as we deliver billions of hours of movies, TV shows, and games per month to 200+ million members across 190+ countries in 30+ languages. Developing data-driven algorithms and systems to help our creators in the Netflix studios produce content effectively and efficiently is an important part of that mission.
The Studio Media Algorithms team is at the forefront of algorithmic innovation to enhance and support the creation of movies, TV shows, games, and other multimedia content. This team's work is responsible for unlocking new creative possibilities for storytellers and driving efficiency of the content creation process, ultimately bringing more joy to viewers all over the world.
We are looking for a Research Scientist with demonstrated experience in deep machine learning and one or more of computer vision (CV), natural language processing (NLP), and computer graphics (CG) to research and develop algorithms and models to enhance the tools used by content creators throughout the production lifecycle, including visual effects (VFX), animation, and games.
At Netflix, we carefully consider a wide range of compensation factors to determine your personal top of market. We rely on market indicators to determine compensation and consider your specific job family, background, 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 this role is typically $150,000 - $750,000. 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.
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.
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