Computational Linguist

Summary

Join Mango Languages as a Computational Linguist and contribute to the research and development of AI-enabled language learning software. You will collaborate with a team of product managers, engineers, and linguists to create innovative language learning experiences. Responsibilities include researching and integrating NLP libraries and APIs, fine-tuning LLMs, performing multilingual textual analysis, and mentoring colleagues. The ideal candidate possesses a degree in Computational Linguistics or a related field with 5+ years of software engineering experience using Python and advanced NLP expertise. You will leverage your skills to improve our language learning products and shape the future of language learning globally. This role offers the opportunity to work on cutting-edge technology and make a significant impact on the way people learn languages.

Requirements

• Degree in Computational Linguistics, or a combination of a related field and equivalent practical experience
• 5+ Years Experience in software engineering and coding with Python
• Advanced Experience in Natural Language Processing (NLP)
• An ability to use, adapt, and extend approaches described in the scientific literature relevant to NLP
• Applicable knowledge of multilingual textual analysis, morphological analysis, syntactic analysis, lemmatization, and automatic speech recognition
• Experience collaborating with fellow engineers, product owners, and other stakeholders to apply NLP approaches in a way that makes a positive impact to our users
• Familiarity with experimental design, research methodologies, qualitative and quantitative analysis
• Experience interacting with cloud-based LLMs through the API (especially OpenAI models)
• Demonstrated analytical skills and excellent written and verbal communication skills in a technical context
• Strong problem solving, conceptual thinking, and communication skills
• Ability to work independently in a fast-moving environment

Responsibilities

• Research and procure Natural Language Processing (NLP) libraries and APIs and integrate them with our internal tools and processes
• Prompt engineer and fine-tune Large Language Models (LLMs) to serve our specific purposes
• Using AI/NLP to create content faster while maintaining the integrity and pedagogical standards of the product
• Multilingual textual analysis including morphological analysis, syntactic analysis and lemmatization
• Synthesizing AI and NLP technologies to create innovative new language learning and teaching experiences
• Being a mentor/educator to help others on technical and theoretical aspects and best practices to bring deep learning and NLP to the organization
• Other duties and new projects as assigned, including a willingness to participate in cross-functional projects

Preferred Qualifications

• Familiarity with machine learning libraries e.g. Tensorflow/Keras/PyTorch, deploying models from Hugging Face
• Experience developing content and curriculum for language learning software
• Proficiency in Hebrew or Korean