NLP Data Scientist Offline

We are looking for data scientists that are passionate about applied and theoretical research in the realm of computational linguistics. As a data scientist, you will join us on our quest to develop novel approaches for generalized AI that can understand and generate natural language. As such, you will study linguistics and mathematical phenomena in order to create new state-of-the-art NLP models that can be applied on, and generalize across multiple domains and use cases.

https://www.oneai.com/about

Interview process:

-Hr-interview (15-20 min)

-Technical interview (with R&D manager conducts)

-Interview with CEO (semi technical - semi personal)

Required skills:

-2+ years experience with Python

-3+ years experience with conducting NLP research (Specifically: Text) using

-Strong theoretical background in Machine Learning

-An understanding of linguistics’ theory and principles (semantic relations, parsing methods, etc.)

-Deep Learning models (RNN, Transformers, etc) and frameworks (PyTorch, Tensorflow, etc.)

-Educate our customers on new and existing features, best practices, and a variety of use cases across industries. This is achieved by planning and hosting online demos, consultations, and screen shares on both a one-to-one and one-to-many basis.

-Master degree or higher in Computer

-Science/Mathematics/Physics,/Electric engineering or equivalent is a must

An in-depth understanding in one or more of the following will be a plus:

-Optimization

-Information theory

-Probability and statistics

-Bayesian methods

-Publications at top-tier conferences (i.e, ACL, EMNLP, ICML, NeurIPS)

-Experience with distributed DL

-Experience with cloud ML (GCP, AWS, etc.)

Benefits:

-Flexible working format - remote or office-based

-A competitive salary and good compensation package

-20 business days of payable annual free-time

-10 days of paid sick leave

-Medical insurance

-technical courses / Education reimbursement

-Comfortable office space or help with remote working place setup

-Needed software licenses reimbursement

-Friendly team

-Professional grow and salary review every 8-10 months