Text copied to clipboard!
Title
Text copied to clipboard!Computational Linguist
Description
Text copied to clipboard!
We are looking for a Computational Linguist to join our dynamic team in the Technology and IT sector. In this role, you will be at the forefront of developing sophisticated language understanding systems that can interpret, generate, and translate human languages. Your work will involve a blend of linguistics, computer science, and artificial intelligence, aiming to bridge the gap between human communication and machine understanding. You will collaborate with cross-functional teams to design algorithms, build models, and create scalable solutions that enhance our product offerings. The ideal candidate will have a strong background in linguistics, proficiency in programming, and a passion for solving complex problems. This role requires creativity, innovation, and the ability to work in a fast-paced environment. You will have the opportunity to contribute to groundbreaking projects that have the potential to transform how we interact with technology. If you are driven by the challenge of unlocking the complexities of language and eager to make a significant impact in the field of computational linguistics, we would love to hear from you.
Responsibilities
Text copied to clipboard!- Design and develop natural language processing (NLP) systems.
- Implement algorithms to analyze, interpret, and generate human language.
- Collaborate with software engineers to integrate linguistic systems into applications.
- Conduct linguistic research and analysis to improve language models.
- Work with large datasets to train and refine NLP models.
- Stay up-to-date with the latest developments in computational linguistics and machine learning.
- Collaborate with cross-functional teams to understand product requirements and deliver solutions.
- Evaluate the effectiveness of linguistic models and algorithms.
- Document methodologies, experiments, and findings.
- Participate in code reviews and maintain high-quality coding standards.
- Troubleshoot and debug language processing systems.
- Contribute to the development of tools and frameworks to automate linguistic tasks.
- Provide linguistic expertise and guidance to team members.
- Collaborate with external partners and academic institutions on research projects.
- Present findings and progress to stakeholders and at conferences.
- Assist in the development of patents and publications related to computational linguistics.
- Mentor junior computational linguists and interns.
Requirements
Text copied to clipboard!- Master's degree or PhD in Computational Linguistics, Computer Science, Linguistics, or a related field.
- Strong programming skills in Python, Java, or C++.
- Experience with natural language processing (NLP) tools and libraries (e.g., NLTK, SpaCy, TensorFlow).
- Familiarity with machine learning algorithms and frameworks.
- Solid understanding of syntax, semantics, and pragmatics of one or more languages.
- Experience working with large text corpora and datasets.
- Ability to work with version control systems (e.g., Git).
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills.
- Experience in developing language models and algorithms.
- Knowledge of speech processing technologies is a plus.
- Ability to document and present research findings clearly.
- Experience with cloud computing platforms (e.g., AWS, Google Cloud) is desirable.
- Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes).
- Proven track record of published research or projects in computational linguistics.
- Ability to work independently and manage multiple projects simultaneously.
- Passion for continuous learning and adapting to new technologies.
- Experience in a fast-paced and dynamic work environment.
Potential interview questions
Text copied to clipboard!- Can you describe a project where you applied NLP techniques to solve a problem?
- How do you stay updated with the latest advancements in computational linguistics?
- What programming languages are you most comfortable with, and why?
- Can you explain a complex linguistic concept to someone without a background in linguistics?
- How do you approach debugging a language model that is not performing as expected?
- Describe your experience with machine learning frameworks. Which do you prefer and why?
- What challenges have you faced while working with large datasets, and how did you overcome them?
- How do you ensure the linguistic models you develop are unbiased and fair?
- Can you discuss a time when you had to collaborate with a team to integrate a linguistic model into a product?
- What interests you most about working in computational linguistics?