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Senior Research Engineer - Search & Recommendations. Job in Los Gatos, California, United States in Netflix Inc.. Nelest.com
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Senior Research Engineer - Search & Recommendations

col-narrow-left   

Job ID:

22847

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 Engineer - Search & Recommendations

Job Description:

Senior Research Engineer - Search & Recommendations

Los Gatos, California

Want to develop algorithms to help over 69 million members across the globe find great content to watch? Are you interested in researching and applying machine learning to create innovative approaches to a wide range of problems, such as finding the best possible audience for new arriving movies and TV shows, entity search and personalized recommendations? The Search & Recommendations Algorithm Engineering team is looking for a passionate and talented applied machine learning expert to join us and lead the way in the research and development of the next generation of algorithms used to drive the Netflix experience.

In this position, you will conduct applied research by conceptualizing, designing, implementing, and validating potential algorithmic improvements for targeting, search and personalized recommendations. This includes running offline experiments and building online A/B tests to run in production systems. To be successful in this role, you must have a strong machine learning background, be a quick learner, have proven software development skills, and work well in small cross-functional teams. You will need to prioritize tasks, exhibit strong leadership and communication skills, and thrive in a dynamic environment.

If you are ready to make a difference working on a product that millions around the world use, and if you want to work on machine learning and data in a company that strongly believes in both, then we would love to talk to you.

Job Requirements:

  • At least five years of research experience with a successful track record of delivering quality results.
  • Expertise in machine learning with a broad understanding of supervised and unsupervised learning methods.
  • Strong algorithmic background.
  • Strong mathematical skills with knowledge of statistical methods.
  • Strong development experience (Scala, Java, Python, C#, or C++).
  • Great communication skills.
  • MS (PhD preferred) in Computer Science, Statistics, or related field.
Preferred, but not required

  • Experience with Spark.
  • Experience in Recommendation Systems and Personalization
  • Experience in targeting algorithms
  • Experience in Search, Information Retrieval, Natural Language Processing, Knowledge Graphs, Semantic Web.
  • Experience in optimization algorithms and numerical computation.
  • Experience with other large-scale data frameworks such as Hadoop, Hive, Pig and Scalding.
  • Experience with cloud computing platforms and large web-scale distributed systems.

To learn more about the team's work: http://techblog.netflix.com/search/label/algorithms

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 Engineer - Search & Recommendations

col-narrow-left   

Job ID:

22847

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 Engineer - Search & Recommendations

Job Description:

Senior Research Engineer - Search & Recommendations

Los Gatos, California

Want to develop algorithms to help over 69 million members across the globe find great content to watch? Are you interested in researching and applying machine learning to create innovative approaches to a wide range of problems, such as finding the best possible audience for new arriving movies and TV shows, entity search and personalized recommendations? The Search & Recommendations Algorithm Engineering team is looking for a passionate and talented applied machine learning expert to join us and lead the way in the research and development of the next generation of algorithms used to drive the Netflix experience.

In this position, you will conduct applied research by conceptualizing, designing, implementing, and validating potential algorithmic improvements for targeting, search and personalized recommendations. This includes running offline experiments and building online A/B tests to run in production systems. To be successful in this role, you must have a strong machine learning background, be a quick learner, have proven software development skills, and work well in small cross-functional teams. You will need to prioritize tasks, exhibit strong leadership and communication skills, and thrive in a dynamic environment.

If you are ready to make a difference working on a product that millions around the world use, and if you want to work on machine learning and data in a company that strongly believes in both, then we would love to talk to you.

Job Requirements:

  • At least five years of research experience with a successful track record of delivering quality results.
  • Expertise in machine learning with a broad understanding of supervised and unsupervised learning methods.
  • Strong algorithmic background.
  • Strong mathematical skills with knowledge of statistical methods.
  • Strong development experience (Scala, Java, Python, C#, or C++).
  • Great communication skills.
  • MS (PhD preferred) in Computer Science, Statistics, or related field.
Preferred, but not required

  • Experience with Spark.
  • Experience in Recommendation Systems and Personalization
  • Experience in targeting algorithms
  • Experience in Search, Information Retrieval, Natural Language Processing, Knowledge Graphs, Semantic Web.
  • Experience in optimization algorithms and numerical computation.
  • Experience with other large-scale data frameworks such as Hadoop, Hive, Pig and Scalding.
  • Experience with cloud computing platforms and large web-scale distributed systems.

To learn more about the team's work: http://techblog.netflix.com/search/label/algorithms

Zip Code:

95030
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