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Netflix: A Culture of Learning

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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

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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

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