Linguistic Application Engineer
Your responsibilities
- Collaborate in the design and realization of complex data-driven applications.
- Contribute to the development of linguistic data processing and NLP pipelines.
- Develop user interfaces for complex searches on large data collections.
- Design, review, test and evaluate cutting-edge applications and methods.
- Write sustainably structured deployable code.
- Organize work in close collaboration with other team members and stakeholders.
Your profile
- Demonstrable experience with professional software development, experience with web application frameworks is a plus.
- Strong programming skills in Python and SQL. Further languages like JavaScript are welcome, but not required.
- Experience with the architecture and implementation of linguistic databases.
- Expertise in Large Language Models and Natural Language Processing.
- Expertise in Deep Learning and knowledge of query languages is a plus.
- MA / BA / MSc Degree or proven working experience in Computational / Corpus Linguistics, Computer Science or Software Engineering.
- Excellent command of English, good command of German is a plus.
What we offer
- We offer varied and interesting work in an inspiring environment.
- University of Zurich is a leading research institution and offers an attractive workplace and competitive salaries.
- Apply and expand your knowledge in advanced machine learning, large language models, distributed application development, databases, data processing
- The possibility to play a decisive role as technician in exciting research projects.
- You can make the difference between research and applied research, turning research results into knowledge transfer for the benefit of society.
- Diversity and inclusion are important to us. We strongly aim at gender balance and particularly encourage women to apply.
Linguistic Application Engineer
MA/BA/MSc Degree or proven working experience in Computational/Corpus Linguistics, Computer Science or Software Engineering. Collaborate in the design and realization of complex data-driven applications. Contribute to the development of linguistic data processing and NLP pipelines. Design, review, t...
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