Deep Learning Engineer for Language Technologies

Job Reference 677_25_LS_LT_RE3 Position Deep Learning Engineer for Language Technologies (RE3) Closing Date Thursday, 27 November, 2025 Reference: 677_25_LS_LT_RE3 Job title: Deep Learning Engineer for Language Technologies (RE3) About BSC The Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain. It houses MareNostrum, one of the most powerful supercomputers in Europe, was a founding and hosting member of the former European HPC infrastructure PRACE (Partnership for Advanced Computing in Europe), and is now hosting entity for EuroHPC JU, the Joint Undertaking that leads large-scale investments and HPC provision in Europe. The mission of BSC is to research, develop and manage information technologies in order to facilitate scientific progress. BSC combines HPC service provision and R&D into both computer and computational science (life, earth and engineering sciences) under one roof, and currently has over 1000 staff from 60 countries. Look at the BSC experience:BSC-CNS YouTube ChannelLet's stay connected with BSC Folks We are particularly interested for this role in the strengths and lived experiences of women and underrepresented groups to help us avoid perpetuating biases and oversights in science and IT research. In instances of equal merit, the incorporation of the under-represented sex will be favoured. We promote Equity, Diversity and Inclusion, fostering an environment where each and every one of us is appreciated for who we are, regardless of our differences. If you consider that you do not meet all the requirements, we encourage you to continue applying for the job offer. We value diversity of experiences and skills, and you could bring unique perspectives to our team. Context And Mission The Language Technologies Laboratory at BSC has consolidated experience in several NLP areas, such as massive language model building, biomedical text mining, machine translation and unsupervised learning for under-resourced languages and domains. It has been entrusted by the Spanish and the Catalan governments with the mission to develop fundamental open- source resources and technologies for Spanish and Catalan. In connection with this, the LT Lab is currently in charge of two flagship projects at the national and regional level: the ALIA project, funded by the Spanish Secretariat of Digitalisation and Artificial Intelligence, and the AINA project, aimed at developing AI resources for Catalan, funded by the Catalan Digitalisation Department. In addition, the Lab participates in various EU funded international projects. LT Lab at BSC is looking for a research engineer with experience in Language Technologies, specifically in Deep Learning and large language model building, and possibly in other areas of Natural Language and Speech Processing.The successful candidate will work in a highly sophisticated HPC environment, have access to state-of-the-art systems and computational infrastructures, and establish collaborations with experts in different areas at the local and international levels. The researcher will play an active role in coordination activities and project management and will contribute to ensuring compliance of the group's activities with the requirements set out in the AI Act. Este contrato se encuentra financiado por el proyecto "DESARROLLO DE MODELOS DEL LENGUAJE EN EL MARCO DEL PLAN NACIONAL DE TECNOLOGÍAS DEL LENGUAJE, EL PERTE DE NUEVA ECONOMÍA DE LA LENGUA Y EL PLAN DE RECUPERACIÓN, TRANSFORMACIÓN Y RESILIENCIA- FINANCIADO POR LA UNIÓN EUROPEA – NEXTGENERATION EU", con referencia externa 2023EtL00054, promovido por la Secretaría de Estado de Digitalización e Inteligencia Artificial (SEDIA), cuyos fondos provienen del Ministerio para la Transformación Digital y de la Función Pública, financiado por la Unión Europea-NextGenerationEU». Key Duties Work, in collaboration with the group members, on the design and development of the solutions needed to achieve the goals of the group's research projects. Interact with relevant stakeholders of the group's research projects to understand their problems and the available data to formulate valuable solutions Collaborate with the members of the group in the generation and evaluation of language models using Deep Learning techniques. Interact and collaborate with relevant international stakeholders. Manage corpora and language data according to the requirements specified in the Lab's data management plan. Ensure the quality and compliance of the models. Lead projects or activities. Apply for research projects. Write research papers. Requirements Education PhD in Computer Science, Telecommunications, Applied linguistics or related disciplines. Essential Knowledge and Professional Experience Demonstrated experience in deep learning frameworks and the relevant area(s). Demonstrated experience in corpus annotation and generation of linguistic resources. Demonstrated experience in data administration and management functions (