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Senior Research Scientist - Recommendation and Ranking, Algorithms Engineering. Job in Los Gatos, California, United States in Netflix Inc.. Nelest.com
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Senior Research Scientist - Recommendation and Ranking, Algorithms Engineering

col-narrow-left   

Job ID:

22832

Location:

Los Gatos, CA 

Job function:

Engineering, Information Systems Management
col-narrow-right   

Posted:

03.09.2016

Employment Type:

Full time

Industry:

Entertainment / Leisure / Recreation
col-wide   

Title:

Senior Research Scientist - Recommendation and Ranking, Algorithms Engineering

Job Description:

Senior Research Scientist - Recommendation and Ranking, Algorithms Engineering

Los Gatos, California

Our team drives the research, development, and innovation for the core recommendation and ranking algorithms at Netflix. We are looking for a passionate and talented machine learning expert to join our team of researchers and engineers. In this position, you will lead the way by implementing and owning the next generation of algorithms to improve the product for our more than 70+ million members from around the world.

Problems you'll work on:

  • Recommender Systems and Personalization. Almost every aspect of the Netflix experience is personalized to the user. You will apply a number of algorithms, from the latest in recommender systems, to explore/exploit approaches to personalize every aspects of the Netflix experience.
  • Learning to Rank. One of the core tasks within the Netflix product is to rank movies and TV shows. These algorithms are used heavily in the generation of the Netflix homepage, where over 80% of users decide what they're going to watch. You will apply known algorithms as well as development and implementing new methods.
  • Unsupervised Learning, such as Clustering, Matrix Factorization and Probabilistic Graphical Models. You will use unsupervised machine learning and other probabilistic algorithms to infer information about our user's tastes and preferences across massive datasets.

Job Requirements:

  • 5+ years of relevant industry experience
  • Strong background in machine learning with a broad understanding of unsupervised and supervised learning methods
  • Strong software development experience in a language such as Java, Scala, Python or C
  • Successful track record of delivering results in complex cross-functional projects
  • Strong mathematical skills with knowledge of statistical methods
  • Great communication skills
  • Motivated by continuous learning and development
  • PhD in computer science, statistics or equivalent
Preferred, but not required

  • Experience in recommendation systems or search
  • Experience with distributed computing platforms (e.g. Hadoop, Spark, Scalding, or equivalent)
  • Open source contributions
  • If you're passionate about applying cutting edge machine learning in a product that is used by millions of people daily, then we'd love to talk to you

Zip Code:

95030

Company Info
Netflix Inc.

Los Gatos, CA, United States

Phone:
Web Site: www.netflix.com

Company Profile

Company Info


Netflix Inc.
Los Gatos, CA, United States
Phone:
Web Site: www.netflix.com

Senior Research Scientist - Recommendation and Ranking, Algorithms Engineering

col-narrow-left   

Job ID:

22832

Location:

Los Gatos, CA 

Job function:

Engineering, Information Systems Management
col-narrow-right   

Posted:

03.09.2016

Employment Type:

Full time

Industry:

Entertainment / Leisure / Recreation
col-wide   

Title:

Senior Research Scientist - Recommendation and Ranking, Algorithms Engineering

Job Description:

Senior Research Scientist - Recommendation and Ranking, Algorithms Engineering

Los Gatos, California

Our team drives the research, development, and innovation for the core recommendation and ranking algorithms at Netflix. We are looking for a passionate and talented machine learning expert to join our team of researchers and engineers. In this position, you will lead the way by implementing and owning the next generation of algorithms to improve the product for our more than 70+ million members from around the world.

Problems you'll work on:

  • Recommender Systems and Personalization. Almost every aspect of the Netflix experience is personalized to the user. You will apply a number of algorithms, from the latest in recommender systems, to explore/exploit approaches to personalize every aspects of the Netflix experience.
  • Learning to Rank. One of the core tasks within the Netflix product is to rank movies and TV shows. These algorithms are used heavily in the generation of the Netflix homepage, where over 80% of users decide what they're going to watch. You will apply known algorithms as well as development and implementing new methods.
  • Unsupervised Learning, such as Clustering, Matrix Factorization and Probabilistic Graphical Models. You will use unsupervised machine learning and other probabilistic algorithms to infer information about our user's tastes and preferences across massive datasets.

Job Requirements:

  • 5+ years of relevant industry experience
  • Strong background in machine learning with a broad understanding of unsupervised and supervised learning methods
  • Strong software development experience in a language such as Java, Scala, Python or C
  • Successful track record of delivering results in complex cross-functional projects
  • Strong mathematical skills with knowledge of statistical methods
  • Great communication skills
  • Motivated by continuous learning and development
  • PhD in computer science, statistics or equivalent
Preferred, but not required

  • Experience in recommendation systems or search
  • Experience with distributed computing platforms (e.g. Hadoop, Spark, Scalding, or equivalent)
  • Open source contributions
  • If you're passionate about applying cutting edge machine learning in a product that is used by millions of people daily, then we'd love to talk to you

Zip Code:

95030
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