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Netflix Research

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Netflix: A Culture of Learning

February 3, 2022

Slide 1 of 3


RECENT ARTICLES

 * MATCH CUTTING: FINDING CUTS WITH SMOOTH VISUAL TRANSITIONS
   
   Oct 11, 2022
   
   A match cut is a transition between a pair of shots that uses similar
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 * RECSYSOPS: BEST PRACTICES FOR OPERATING A LARGE-SCALE RECOMMENDER SYSTEM
   
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   In this blog post, we introduce RecSysOps a set of best practices and lessons
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 * REINFORCEMENT LEARNING FOR BUDGET CONSTRAINED RECOMMENDATIONS
   
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   This writeup is about using reinforcement learning to construct an optimal
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 * HDR LIGHTING DILATION FOR DYNAMIC RANGE REDUCTION ON VIRTUAL PRODUCTION
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   Aug 8, 2022
   
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 * JOINTLY OPTIMIZING COLOR RENDITION AND IN-CAMERA BACKGROUNDS IN AN RGB
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   Aug 7, 2022
   
   While the LED panels used in virtual production systems can display vibrant
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 * QUERY FACET MAPPING AND ITS APPLICATIONS IN STREAMING SERVICES: THE NETFLIX
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   In an instant search setting such as Netflix Search where results are
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More Articles


JOB POSTINGS

 * ANALYTICS ENGINEERING INTERN, DATA SCIENCE & ENGINEERING
   
   Los Gatos, California

 * DATA SCIENTIST 5 - EXPERIMENTATION & CAUSAL INFERENCE
   
   Remote, United States

 * SENIOR RESEARCH SCIENTIST, COMPUTER GRAPHICS / COMPUTER VISION / MACHINE
   LEARNING
   
   Los Gatos, California

More Jobs
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WHAT IS NETFLIX RESEARCH?

Research at Netflix is aimed at improving various aspects of our business.
Research applications span many areas including our personalization algorithms,
content valuation, and streaming optimization. To maximize the impact of our
research, we do not centralize research into a separate organization. Instead,
we have many teams that pursue research in collaboration with business teams,
engineering teams, and other researchers. This allows for close partnerships
between researchers and the business or engineering teams in each area. In
addition, 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 a 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 our hypotheses up 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, including our own CEO.


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.

MACHINE LEARNING

Learning how to entertain the world

RECOMMENDATIONS

Figuring out how to bring unique joy to each member

EXPERIMENTATION & CAUSAL INFERENCE

Letting members make the decisions

ANALYTICS

Driving insights from data

MACHINE LEARNING PLATFORM

Accelerating and democratizing ML innovation

ENCODING & QUALITY

The best bang for your bytes


OUR FOCUS ACROSS THE BUSINESS

FOR MORE INFORMATION ON THE DIFFERENT BUSINESS CHALLENGES THAT RESEARCH CAN
SOLVE AT NETFLIX, VISIT THE LINKS BELOW.

PERSONALIZATION & SEARCH

Helping members discover content they’ll love

CONTENT & STUDIO

Curating and producing the best content for our members

STREAMING

Optimizing your viewing experience

MARKETING & GROWTH

Helping more people find and enjoy Netflix

Netflix Research

Contact us at
research@netflix.com

   Follow @wearenetflix

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