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Title

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Computational Linguist

Description

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We are looking for a Computational Linguist to join our dynamic team and contribute to the development of cutting-edge language technology solutions. As a Computational Linguist, you will work at the intersection of linguistics and computer science, designing, implementing, and optimizing algorithms that enable computers to process and understand human language. Your expertise will be crucial in building natural language processing (NLP) systems, such as speech recognition, machine translation, sentiment analysis, and conversational AI applications. You will collaborate with software engineers, data scientists, and product managers to create robust language models and linguistic resources. Key responsibilities include analyzing linguistic data, developing grammars and lexicons, evaluating NLP models, and ensuring the linguistic accuracy of language technology products. You will also be expected to stay up-to-date with the latest research in computational linguistics and NLP, and to apply innovative techniques to solve complex language-related problems. The ideal candidate has a strong background in linguistics, proficiency in programming languages such as Python or Java, and experience with NLP frameworks and tools. You should be comfortable working with large datasets, have excellent analytical skills, and possess a keen attention to detail. This role offers the opportunity to make a significant impact on the way people interact with technology through language, and to be part of a forward-thinking organization that values innovation and collaboration.

Responsibilities

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  • Design and implement NLP algorithms and models
  • Analyze and annotate linguistic data
  • Develop and maintain linguistic resources such as grammars and lexicons
  • Evaluate and improve the performance of language technology systems
  • Collaborate with cross-functional teams on product development
  • Stay current with advancements in computational linguistics and NLP
  • Document methodologies and results
  • Support integration of language technologies into products
  • Conduct error analysis and propose solutions
  • Participate in code reviews and knowledge sharing

Requirements

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  • Master’s or PhD in Computational Linguistics, Linguistics, Computer Science, or related field
  • Strong programming skills in Python, Java, or similar languages
  • Experience with NLP frameworks (e.g., NLTK, spaCy, TensorFlow, PyTorch)
  • Solid understanding of linguistic theory and language structure
  • Ability to work with large datasets and perform data analysis
  • Excellent problem-solving and analytical skills
  • Strong written and verbal communication skills
  • Experience with machine learning techniques is a plus
  • Familiarity with speech processing or machine translation is advantageous
  • Attention to detail and commitment to quality

Potential interview questions

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  • What experience do you have with NLP frameworks and tools?
  • Can you describe a project where you developed a language model?
  • How do you approach linguistic data annotation and analysis?
  • What programming languages are you most comfortable with?
  • How do you stay updated with advancements in computational linguistics?
  • Describe a challenging problem you solved in language technology.
  • What is your experience with machine learning in NLP?
  • How do you ensure the linguistic accuracy of your work?
  • Have you worked with multilingual or low-resource languages?
  • What motivates you to work in computational linguistics?