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.
Master degree or higher in Computer Science/Mathematics/Physics, /Electric engineering or equivalent is a must;
Strong theoretical background in Machine Learning;
An in-depth understanding of linguistics’ theory and principles (compositionality, semantic relations, parsing methods, etc.);
2+ years experience with Python;
3+ years experience with conducting NLP research using Deep learning models (RNN, Transformers, etc) and frameworks (PyTorch, Tensorflow, etc.).
An in-depth understanding of one or more of the following:
Probability and statistics;
Publications at top-tier conferences (i.e, ACL, EMNLP, ICML, NeurIPS);
Experience with distributed DL;
Experience with cloud ML (GCP, AWS, etc.);
Working in a team of talented and passionate engineers;
Opportunity to work with the most trending technologies;
Long-term enjoyable cooperation;
Covid medical insurance;
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.