Data scientist/Machine Learning Engineer to the CoreML team

Key Skills

Algorithms, Big Data Technology, clickHouse, Common data structures, Machine learning techniques, Python Programming, PyTorch, Scala Programming, SPARK Programming

Job Description

We are looking for ML developers who will help us develop the smart feed, the “For You” recommendation feed, and recommendations from friends.

We are ready to share knowledge, so we will consider candidates who do not yet have skills in some areas, but are ready to grow.

You will:

• explore approaches and generate ideas;
• write backend code - collect data, build logic around the use of models;
• teach models offline;
• conduct A/B tests and do analytics.

We are interested because:

• we try to actively follow machine learning trends and contribute to science - our team members regularly publish articles, give presentations at conferences and share solutions to complex problems;
• we use the full stack of technologies: Big Data, ML, backend, analytics (KPHP, Python, Scala, Spark, PyTorch, ClickHouse and others), but we provide flexibility in the choice of tools, the main thing is the result;
• we offer interesting and challenging tasks at the intersection of different areas of knowledge - you can quickly upgrade your skills;
• we have a minimum of bureaucracy, and the speed of development is maximum;
• you will be able to work with the best specialists in your fields - world champions in programming and candidates of technical sciences :)

We expect that you:

• program at a high level;
• have excellent knowledge of algorithms and data structures;
• have a strong mathematical background;
• know how to competently use machine learning algorithms;
• work with Big Data frameworks.

We offer:

• comfortable and modern office;
• salary level, which depends only on your knowledge and ability to work;
• VHI, to be treated at a convenient time and without unnecessary expenses.

We invite a specialist who can visit an office in Moscow or St. Petersburg, work remotely or in a hybrid mode. We are waiting for your responses. Good luck!