Tinder brings people together. With tens of millions of users and a presence in every country on earth, our reach is expansive—and rapidly growing. Your work here can change the world. We have a small, dedicated Engineering team with one of the highest ratios of users to engineers in the industry, making every member of the team critical to our success. We are looking for a Machine Learning Scientist to help us explore a vast amount of data and derive knowledge from that data that can be used to improve our product. If you are a relentless problem-solver—if you can transform large amounts of data into sound recommendations to improve the user experience—we want to hear from you.

In this Machine Learning Scientist role, you will: 

• Work on exciting problems for recommendations to improve the user experience
• Develop data-driven approaches to understand user profiles
• Work on efficient and effective schemes to defend against bots and spams
• Design and implement state-of-the-art machine learning algorithms in distributed machine learning frameworks such as Spark

We're looking for:

• Undergraduate degree in computer science, software engineering or undergraduate degree in numerical discipline (e.g. physics, math, engineering)
• PhD in machine learning, statistics or in another highly quantitative/analytical field
• Hands-on experience in applied Machine Learning (ML) projects or other predictive modeling and analysis projects
• Proficiency in at least one of Python, Scala, and/or R/Matlab

 Bonus points if you have:

• In-depth knowledge of deep neural network, clustering, collaborative filtering, and classification techniques
• Experience in designing and building highly scalable distributed ML models
• Experience in big data framework such as Spark and Hadoop
• Proficiency in one or more: C++, Java, Scala
• A strong record of publications in top conferences such as NIPS, ICML, and KDD

• The hustle of a startup with the impact of a global business
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  Tremendous opportunity to solve some of the industry’s most exciting problems
  
  
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  Working with an extraordinary team of smart, creative, fun and highly motivated people
  
  
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  Comprehensive health coverage, competitive salary, 401(k) match and meaningful equity
  
  
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  Unlimited vacation and flexible working hours
  
  
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  Daily catered lunches, endless supply of refreshments, basketball court, fitness classes and social events
  
  
• Modern, uplifting work environment in an ideal location