Careers
Find Your Opportunity
We are looking for highly-qualified NLP experts who will be responsible for processing natural language data and converting it into valuable NLP applications.
Every time I fire a linguist, the performance of the speech recognizer goes up.
- Frederick Jelinek (IBM, 1998)
Current Open Positions
Responsibilities
- Adopt powerful text representations for the transformation of natural language into compelling features
- Contribute to the development of new features, issue fixes, and introduce new tools and concepts
- Build Natural Language Processing applications using features developed by the transformation of natural language data
- Simplify the deployment and design of complicated conversational systems
- Identify appropriate dataset for the application of Machine Learning methods
- Analyze and optimize the performance of the website
- Identify and implement the tools and algorithms appropriate for NLP assignments
Requirements
- Bachelor’s/Master’s degree in Mathematics, Computer Science, Computational Linguistics (or equivalent)
- At least 3+ years of relevant experience as a software developer
- Prolific experience as a Natural Language Processing expert or other similar roles
- Proven experience in Natural Language Processing tricks and techniques for semantic extraction, data structure, and modeling
- Good understanding of text representation
- Strongholds of Machine Learning frameworks, like Keras or PyTorch, and libraries, like scikit-learn
Preferred Skills
- Acquaintance with Python, and R
- Ability to code and design software architectures
- Profound problem-solving abilities, communication skills, and an analytical mind
- Excellent organizational and communication skills
- LOCATION: REMOTE
- QUALIFICATION: 3+ YEARS EXPERIENCE, GRADUATION
We don't offer too many things, indeed. We provide high-salaries to our team members and rely them on spending that salary in the most beneficial way by their own optimization rules.
We believe that a programmer should be able to convert coffee into working software. We love Turkish Coffee, but our first choice is usually Americano because it doesn't finish quickly. We hate very long meetings and to be invited to meetings that we don't have clue about why we are there.
If you like to work on natural language processing field in a fast-pace environment to build solutions for real-life problems, you are always welcome.