Data Scientist

Full time work

We invite an experienced, talented, passionate Data Scientist to join our team of professionals to work on an NLP product from scratch.


Talent acquisition manager

About project

Our client is an AI company, which is led by veterans with multiple Exits behind them in the field, working with a team of amazing people that aims to unlock Natural Language Processing for everyone. In today’s world, everyone should have access to the insights hidden in the sea of textual information generated every day. To make this possible, we are developing the next generation of NLP APIs, a technology that equipped state-of-the-art AI models with common sense and a human-like understanding of natural language. With us, everyone can harness the benefits of our data-driven world regardless of the technical expertise one might have.

Your area of responsibility

  • Researching and designing innovative ways to harness linguistics structures for NLP algorithms;
  • Implementing novel solutions based on state-of-the-art Deep Learning architectures for NLP tasks;
  • Collaborating with machine learning developers to integrate NLP approaches for real-world problems.

Skills and requirements

  • Master degree or higher in Computer Science/Mathematics/Physics/Electric engineering or equivalent is a must;
  • Strong theoretical background in Machine Learning;
  • Experience with NLP;
  • 2+ years experience with Python;
  • 2+ years experience in conducting Deep Learning research;
  • An in-depth understanding of one or more of the following: Information theory, Probability, and statistics, Bayesian methods.

Will be a plus

  • Publications at top-tier conferences (i.e, ACL, EMNLP, ICML, NeurIPS);
  • Experience with distributed DL;
  • Experience with cloud ML (GCP, AWS, etc.).

We offer

  • Working in a team of talented and passionate engineers;
  • Opportunity to work with the most trending technologies;
  • Long-term enjoyable cooperation;
  • Covid medical insurance;
  • Personal legal support;
  • English classes;
  • Payable vacation and sick days;
  • Competitive salary depending on your own talents;
  • Regular performance & career development reviews;
  • Cozy office and nice family-type atmosphere;
  • Team building events.