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Title
Text copied to clipboard!Computational Linguist
Description
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We are looking for a Computational Linguist who is passionate about language technology and computational methods. The ideal candidate will have a strong background in linguistics, computer science, and artificial intelligence, with a proven ability to develop and implement language processing algorithms and models. You will be responsible for analyzing linguistic data, creating computational models, and improving natural language processing (NLP) systems. Your role will involve collaborating closely with software engineers, data scientists, and linguists to enhance language understanding and generation capabilities.
As a Computational Linguist, you will play a critical role in developing innovative solutions for language-related challenges. You will be expected to stay current with the latest research and advancements in computational linguistics and NLP, applying this knowledge to practical applications. Your expertise will contribute significantly to the development of products and services that rely on accurate and efficient language processing.
Your responsibilities will include designing and conducting linguistic experiments, analyzing large datasets, and developing computational models to address complex linguistic problems. You will also be tasked with evaluating and refining existing NLP systems, ensuring their accuracy, efficiency, and scalability. Additionally, you will collaborate with cross-functional teams to integrate linguistic insights into product development, enhancing user experience and system performance.
The successful candidate will possess excellent analytical and problem-solving skills, with the ability to approach linguistic challenges creatively and systematically. Strong programming skills, particularly in languages such as Python, Java, or R, are essential. Familiarity with machine learning frameworks and NLP libraries, such as TensorFlow, PyTorch, NLTK, or spaCy, is highly desirable.
You should have experience working with linguistic annotation tools, corpus analysis, and language modeling techniques. A solid understanding of syntax, semantics, phonetics, and pragmatics is crucial, as is the ability to apply linguistic theory to computational models. Experience with multilingual NLP and cross-linguistic analysis will be advantageous.
Excellent communication skills are required, as you will need to clearly articulate complex linguistic concepts and computational methods to both technical and non-technical audiences. You should be comfortable working independently as well as collaboratively within a team environment, demonstrating flexibility and adaptability in your approach.
We offer a dynamic and supportive work environment, where innovation and creativity are encouraged. You will have the opportunity to work on cutting-edge projects, contributing to advancements in language technology and computational linguistics. If you are passionate about language, technology, and innovation, we invite you to join our team and help shape the future of computational linguistics.
Responsibilities
Text copied to clipboard!- Develop and implement computational models for language processing tasks.
- Analyze linguistic data and conduct linguistic experiments.
- Collaborate with software engineers and data scientists to enhance NLP systems.
- Evaluate and refine existing NLP algorithms and models.
- Stay current with advancements in computational linguistics and NLP research.
- Integrate linguistic insights into product development processes.
- Document methodologies, results, and findings clearly and effectively.
Requirements
Text copied to clipboard!- Bachelor's or Master's degree in Linguistics, Computer Science, or related field.
- Strong programming skills in Python, Java, or R.
- Experience with NLP libraries and machine learning frameworks.
- Solid understanding of linguistic theory and computational modeling.
- Excellent analytical, problem-solving, and communication skills.
- Experience with linguistic annotation tools and corpus analysis.
- Ability to work independently and collaboratively in a team environment.
Potential interview questions
Text copied to clipboard!- Can you describe your experience with developing computational models for language processing?
- Which NLP libraries and machine learning frameworks are you most familiar with?
- How do you approach analyzing linguistic data and conducting linguistic experiments?
- Can you provide an example of a challenging linguistic problem you solved computationally?
- How do you stay updated with the latest research and advancements in computational linguistics?
