Data scientist/Machine learning engineer to Team CoreML

VK.com
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Job Description

We are currently looking for a middle or senior developer who will work on one of these areas. It will be necessary to use the full stack of technologies: BigData, ML, Backend, analytics.
Write to us, even if only one of these points is about you, and you are ready to develop in the rest:
- a high level of programming skills;
- excellent knowledge of algorithms and data structures;
- ability to competently use machine learning algorithms;
- skills in working with Big Data frameworks;
- strong mathematical background.
In our work we use:
- Hadoop, Spark, Kafka and other technologies from the world of Big Data, which we are preparing on Scala;
- PyTorch and other tools for content analysis and work with neural networks;
- Python and a wide stack of libraries for machine learning and analytics tasks;
- own dialect of PHP with extensions for efficient work with systems.
Our principle is to work in small iterations, starting with the simplest solutions. This approach allows you to quickly and efficiently cope with the tasks.
Examples of tasks that our Team faces on a daily basis
Recommender systems:
- what authors will be of interest to the user and how to find a new audience for content creators;
- how to factorize a sparse matrix with billions of values;
- how to cluster and classify users and authors by interests;
- how to recommend friends based on the analysis of a giant social graph and other user data;
- how to cluster vertices in graphs if there are hundreds of millions of them;
- how to ensure novelty and variety of recommendations.
Ranking:
- what is the happiness of users, authors and content platform, how to accurately measure it even with small changes;
- how to build a loss function that most closely matches happiness;
- what factors influence what the user likes and dislikes;
- how to collect data for model training;
- how to find powerful ranking models that can work under heavy load;
- how to correctly test new functionality in a system with a strong network effect.
Infrastructure:
- how to effectively collect, store and process terabytes of data every day, as well as how to scale machine learning for such an amount of information;
- how to quickly learn about problems and their causes;
- how to understand that the recommender system works correctly;
- how to make online ranking faster and more productive.
Andrey Yakushev, CoreML team leader:
“The CoreML team has a high culture of working with data, a well-thought-out infrastructure and incredibly cool colleagues. We holivare, sorting out ideas, roll out only the best ones into production and constantly expand our horizons.”
We offer:
- interesting and complex tasks at the junction of different fields of knowledge;
- minimum bureaucracy and maximum speed of development;
- the ability to quickly upgrade your skills;
- work with the best specialists in their fields, world champions in programming, candidates of technical sciences and promising talents;
- office in the historical center of St. Petersburg;
- the level of salary, which depends only on your knowledge and ability to work
- VHI, to be treated at a convenient time and without unnecessary expenses.

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
  • Jobs Posted

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