Práce Linköping, Švédsko

Application Expert for AI Training in Large Language Models (SELLMA)

Nauč se tuto dovednost
Zaměstnavatel
Linköpings Universitet
Typ úvazku
plný úvazek
Požadovaná praxe
Ano

NAISS, the National Academic Infrastructure for Supercomputing in Sweden, provides large-scale computing resources, storage, and data services for academic users. NAISS is a center formation with Linköping University as host and has 12 partner universities across Sweden. For more information about the position: https://liu.se/jobba-pa-liu/lediga-jobb/29609 Your Responsibilities As an application expert for AI training, you will be part of an interdisciplinary team developing the next generation of open language models. We are seeking several individuals with different competency profiles, and depending on your background, you will work with one or more parts of the development from data collection and data management to model training, evaluation, alignment, and development of tools for the models. The work encompasses the entire pipeline for large language models. You will contribute to the development of open foundation models for the Swedish language or models for scientific reasoning and programming, including evaluation and optimization for use within research, the public sector, and industry. Responsibilities also include developing large-scale data pipelines for collecting and processing text from data owners, government agencies, historical archives, web sources, and the project's partners. You will design, implement, and maintain distributed and automated systems for data collection, cleaning, quality filtering, text normalization, and efficient deduplication. You will also work with methods to ensure compliance, such as automatic identification and masking of personal data according to GDPR, as well as filtering of inappropriate or unwanted content. Your Qualifications Requirements for the position: Advanced degree in computer science, data engineering, computational linguistics, machine learning, technical physics, mathematics, or other relevant field, or equivalent documented experience. Very strong programming skills in Python and experience developing robust software and handling large text or data volumes. Experience with machine learning and development, training, fine-tuning, or evaluation of language models or other generative AI models. Very strong proficiency in both Swedish and English, spoken and written, as the work involves responsibility for curating and assessing the quality of Swedish-language source material. Your Workplace Learn more about our activities here: https://www.naiss.se/ About the Position Permanent employment, full-time 100%. Start date by agreement. The position may be placed in a security classification. If so, a security clearance with record check will be conducted before a decision on employment is made. Salary and Benefits Linköping University applies individual and differentiated salary setting in accordance with applicable collective agreements (RALS/RALS-T) and the university's salary guidelines. NAISS offers employees the possibility of remote work up to 40% of working time as well as good opportunities to combine parenthood and an active leisure life with work. Read more about employee benefits: https://liu.se/jobba-pa-liu/formaner. Trade Union Contact Persons For information about trade union contact persons, see https://liu.se/jobba-pa-liu/hjalp-for-sokande. Application You are welcome to apply for this position by 2026-09-17. We welcome applicants with different backgrounds, experiences, and perspectives; this enriches and develops our operations. For us, it is a given that we safeguard the equal value, rights, and opportunities of all. Read about our work here: https://liu.se/artikel/lika-villkor/. We look forward to receiving your application! Linköping University has contracted agreements and requests that we do not receive direct contact from staffing and recruitment companies or sellers of job postings.

Profese
Data scientist
Forma mzdy
pevná měsíční, týdenní nebo hodinová mzda
Počet míst
4
Kontaktní osoba
Erik Lindahl
Employer Workplace
Linköpings Universitet
Kraj
Östergötlands län
Occupation Field
Data/IT
Postcode
58183
Duration
na dobu neurčitou
Scope Of Work
100–100 %
Working Hours
plný úvazek
Employment Type Label
hlavní pracovní poměr
Město
Linköping
GPS
58.4200361, 15.6226866
Publikováno
24. 8. 2026
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