Cyabra’s technology filters through social conversations to empower brands and uncover disinformation. Our powerful lens taps into hives of activity that are connected by common interests and passions to provide a deeper understanding of what drives consumers to help brands make smarter decisions.

We are looking for an experienced, hands-on NLP researcher to join our growing team and expand our algorithmic offering using our unique and rich data.

As an NLP and Data Scientist, you should be passionate about analyzing, mining and doing crazy things with text and data, and be great at it! Our team is the right place where all your algorithmic and analytical skills will come into action.

You will create and implement new Machine \ Deep Learning approaches over various NLP challenges and data tasks.

You will work together with our Data engineers and collaborate with the CPO to deliver SOTA algorithmic solutions and achieve superior results.

On a day to day, some of your responsibilities will include:
Implement NLP and data related ML\DL algorithmic pipelines into production
Owning and improving the algorithm's performance and quality evaluation
Developing novel algorithms and investigating new technologies
Explore new data sources and methods supporting the accuracy of the algorithms.

REQUIREMENTS
PHD/ M.Sc. in Computer Science or Mathematics
2+ years of hands on experience in designing and developing ML\DL NLP algorithmic pipelines
Deep understanding of the NLP field, following state-of-the-art methods.
Proven experience in implementing NLP algorithms to solve real-world problems
Deep experience in Python coding, and modeling\statistics packages including Pytorch/Tensorflow, Pandas, Nupmy, Scikit-learn etc.
Innovative thinking, creativity, and self-learning
Advantages:
Experience with MongoDB
Superior coding skill

Please apply as a referral from Yovel A at: yovel@cyabra.com
Company Industry: Computer Software
Employment type:
Full-time
Part-time
Contract
Shifts
Temporary
Other
Workplace policy: Hybrid
Seniority Level: Senior-level
Company size: 11-50 Employees
Job created Mar 29, 2022

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