Data scientist / Machine learning engineer to Recommendations and Machine Learning team

VK.com
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Job Description

We apply machine learning algorithms to content recommendations. We do not just take ready-made solutions, but also create our own, suitable for work in conditions of high loads and big data. In addition to classical ML, we use deep learning and Bayesian methods. A typical example of our project is a system that learns on the go to determine the prospects of new content and the audience among which it will be most in demand.
We are looking for a specialist who will develop a recommender system with us, look for opportunities for growth and form plans for product development.
You will:
• formulate business problems mathematically;
• use a huge amount of different data;
• create hypotheses for improving the service, implement them and test their performance offline, and if successful, look for ways to implement them;
• conduct A/B tests and analyze the results of experiments.
We are interesting because you will be able to work with a variety of state-of-the-art solutions in the field of recommender systems, for example:
• with advanced matrix factorization methods for extracting information from browsing and search history;
• construction of text embeddings;
• reinforcement learning methods;
• SNA techniques for social graph analysis;
• big data development and analytics on top of the Apache Spark stack;
• product science for insights and generation of product hypotheses;
• analysis of the limits of applicability of models, explanation techniques for understanding the operation of models and their specifics.
We expect that you:
• have excellent mathematical and algorithmic background;
• know the methods of machine learning and know how to use them competently;
• have worked with recommender systems or are interested in them;
• fluent in Python, Java or Scala, as well as any of the dialects of SQL.
It will be a plus if you:
• know how to work with big data frameworks — Spark, Hadoop;
• are familiar with Bayesian methods of machine learning.
We invite a candidate who will be able to visit the office in St. Petersburg or work in a hybrid schedule. We are waiting for your feedback. Good luck!

Company Info.

VK.com

VK, was known as Mail.ru Group until 12 October 2021, is a Russian internet company. It was started in 1998 as an e-mail service and went on to become a major corporate figure in the Russian-speaking segment of the Internet. As of 2013 according to comscore, websites owned by VK collectively had the largest audience in Russia and captured the most screen time. VK's sites reach approximately 86% of Russian Internet users on a monthly basis and

  • Industry
    Information Technology
  • No. of Employees
    6,000
  • Location
    Moscow, Russia
  • Website
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