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Netflix Research HomeResearch Areas Back PublicationsJobs HomeResearch Areas Back PublicationsJobs Netflix: A Culture of Learning Slide 1 of 4 RECENT ARTICLES * SWITCHING THE LOSS REDUCES THE COST IN BATCH REINFORCEMENT LEARNING Oct 31, 2024 We propose training fitted Q-iteration with log-loss (FQI-LOG) for batch reinforcement learning (RL). We... * NETFLIX ORIGINAL RESEARCH: NABE TEC 2024 Oct 24, 2024 Netflix is thrilled to sponsor the 2024 National Association for Business Economics (NABE) Tech Economics... * NETFLIX ORIGINAL RESEARCH: CODE@MIT 2024 Oct 16, 2024 Netflix is thrilled to be the premier sponsor of the 2024 Conference on Digital Experimentation @ MIT.... * VIDEO ANNOTATOR: A FRAMEWORK FOR EFFICIENTLY BUILDING VIDEO CLASSIFIERS USING VISION-LANGUAGE MODELS AND ACTIVE LEARNING Sep 1, 2024 High-quality and consistent annotations are essential for developing robust machine learning models, but... * IMPROVE YOUR NEXT EXPERIMENT BY LEARNING BETTER PROXY METRICS FROM PAST EXPERIMENTS Aug 25, 2024 When primary objectives are insensitive or delayed, experimenters may instead focus on proxy metrics... * INFERRING THE LONG-TERM CAUSAL EFFECTS OF LONG-TERM TREATMENTS FROM SHORT-TERM EXPERIMENTS Jun 20, 2024 We study inference on the long-term causal effect of a continual exposure to a novel intervention, which we... More Articles JOB POSTINGS * SENIOR TEST ENGINEER (L5) - GAMES SDK Los Gatos, United States of America * HEAD, SOCIAL MARKETING - INDIA Mumbai, India * ADMINISTRATIVE ASSISTANT, PRODUCT MANAGEMENT Mexico City, Mexico * HEAD OF MARKETING - INDONESIA Jakarta, Indonesia * PRODUCT MANAGER, EVIDENCE Los Gatos, California, United States of America More Jobs Play Video WHAT IS NETFLIX RESEARCH? Research at Netflix aims to improve various aspects of our business. Research applications span many areas including our recommendations, content valuation, streaming optimization, and user insights. To maximize the impact of our research, we do not centralize it into a separate organization. Instead, we have many teams that pursue research in close collaboration with business teams, engineering teams, and other researchers. Research that applies to the same methodological area or business area is shared and highlighted in discussion and debate forums to strengthen the work and its impact. These forums also serve to identify and motivate future research directions. Researchers at Netflix love working in an unique environment enabled by the Netflix Culture that values curiosity, courage with smart risks, innovation, science, rigor, and high impact. Across the company, we strive to run experiments to back up our hypotheses with evidence, which often uncover surprises that redirect or refine our research. We relish the freedom to try new ideas and the opportunity to debate their implications with colleagues spanning all parts and levels of the company. OUR AREAS OF EXPERTISE FOR MORE INFORMATION ON THE DIFFERENT RESEARCH AREAS AT NETFLIX, INCLUDING PAPERS AND TALKS, CLICK ON ANY OF THE AREAS BELOW. ANALYTICS Driving insights from data COMPUTER VISION AND GRAPHICS Seeing Beyond Pixels: Revolutionizing Perception with Computer Vision and Graphics CONSUMER INSIGHTS Uncovering rich human insights that guide the future path for Netflix ENCODING & QUALITY The best bang for your bytes EXPERIMENTATION & CAUSAL INFERENCE Letting members make the decisions MACHINE LEARNING Learning how to entertain the world MACHINE LEARNING PLATFORM Accelerating and democratizing ML innovation NLP & CONVERSATIONS Unlocking the Power of Words: Natural Language Processing at Netflix RECOMMENDATIONS Figuring out how to bring unique joy to each member Netflix Research Contact us at research@netflix.com Follow @wearenetflix * * * * * Netflix.com * Privacy * Cookie Preferences * Do Not Sell or Share My Personal Information * PRIVACY PREFERENCE CENTER * GENERAL DESCRIPTION * ESSENTIAL COOKIES * PERFORMANCE AND FUNCTIONALITY COOKIES * ADVERTISING COOKIES GENERAL DESCRIPTION We use two types of cookies: essential cookies and performance and functionality cookies. Click on the different cookie categories to find out more about each category. ESSENTIAL COOKIES Always Active These cookies are strictly necessary to provide our website or online service. For example, we and our Service Providers may use these cookies to authenticate and identify visitors when they use our jobs sites and applications so we can provide our service to them. They also help us to enforce our Terms of Use, prevent fraud and maintain the security of our services. Lifespan: Most cookies are session cookies (which are only active until you close your browser) or are cookies which are only active for one day. Some cookies are active for a longer time, ranging from 1 to 12 months. Cookies Details PERFORMANCE AND FUNCTIONALITY COOKIES Performance and Functionality Cookies These cookies help us to personalize your interactions with our jobs sites. For example, they help us to remember your preferences. 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