Computational Linguist

Job Description

Join us in our quest to revolutionize communication through technology! We are in search of a Computational Linguist who excels in blending knowledge of linguistics with technical prowess. In this role, you will analyze language data, develop predictive models, and help implement new features that improve user experience. If you are passionate about the intersection of language and technology, this position is for you.

Responsibilities

• Design and optimize algorithms for natural language understanding.
• Work alongside data scientists to improve data analysis methods for language processing.
• Conduct workshops to share knowledge on NLP technologies.
• Analyze current algorithms and implement modifications for better performance.
• Document processes, results, and best practices in algorithm development.
• Support user-testing to gather feedback on language applications.
• Collaborate on developing innovative solutions to complex language challenges.
• Engage in community outreach to report and share developments in computational linguistics.
• Assist in grant proposals and research project documentation.

Requirements

Education

• Master's degree in Computational Linguistics or Computer Science
• Ph.D. in a related field is preferred

Experience

• At least 3 years of relevant experience in NLP or computational linguistics

Technical Skills

• R
• NLTK/SpaCy
• Data Visualization Tools

Soft Skills

• Critical Thinking
• Adaptability

Certifications

• Certified Artificial Intelligence Engineer
• Scrum Master

Languages

• English: Fluent

Advantageous

• Experience with Cloud Technologies: Familiarity with deploying NLP models on cloud platforms.
• Familiarity with Git: Experience managing development projects using version control.

Benefits

• Health, dental, and vision coverage.
• Generous paid time off and holidays.
• 401(k) retirement plan with company match.
• Access to learning and development programs.

Company Culture

• Continuous Learning: We believe in lifelong learning and provide resources for team members to enhance their skills.
• Work-Life Balance: Our policies support a healthy work-life balance and flexible working arrangements.