Job Reference
607_25_LS_LT_RE2
Position
Deep Learning Engineer for Language Technologies (RE2)
Closing Date
Saturday, 18 October, 2025
Reference: 607_25_LS_LT_RE2
Job title: Deep Learning Engineer for Language Technologies (RE2)
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.
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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.
The LT Lab is looking for candidates with a background in computational linguistics 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 implement innovative techniques for language modeling and evaluation in the HPC environment.
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.
- Collaborate with the members of the group in the generation and evaluation of language models using Deep Learning techniques (Transformers, Recurrent Neural Networks, and other neural network architectures).
- All the previous points focusing on the research and deployment of post-training strategies, including instructions processing, algorithm design and evaluation of instructed LLMs.
Requirements
- Education
- Degree in Computer Science, Mathematics or related.
- Essential Knowledge and Professional Experience
- Good knowledge of Python.
- Good knowledge of Linux.
- Experience in Machine Learning techniques.
- Knowledge of Deep Learning.
- Knowledge of Computer Vision
- Additional Knowledge and Professional Experience
- Published research in the field of Artificial Intelligence, with a focus on Large Language Models.
- Knowledge of mathematics and statistics applied to Machine Learning.
- Experience on training LLMs.
- Knowledge in the field of multimodal Artificial Intelligence (e.g., language, vision, and/or speech) is highly valued.
- Theoretical broad knowledge of AI techniques.
- Knowledge of HPC workload managers such as Slurm.
- Knowledge of Continuous Integration/Delivery/Deployment, including tools such as (or similar to) Github and/or Singularity.
- Basic knowledge of C++, Matlab and/or Java.
- Experience in machine learning and data mining including knowledge of PyTorch, Tensorflow, Pandas, Scikit-learn and/or Numpy.
- Knowledge of GPU-based computing, including multi-gpu/multi-node parallelization techniques.
- Fluency in spoken and written Spanish and English. Knowledge of other Spanish co-official languages will be valued.
- Competences
- Capacity to explore new research lines.
- Good communication and presentation skills.
- Ability to work within a team and within a pair (pair programming).
Conditions
- The position will be located at BSC within the Life Sciences Department
- We offer a full-time contract (37.5h/week), a good working environment, a highly stimulating environment with state-of-the-art infrastructure, flexible working hours, extensive training plan, restaurant tickets, private health insurance, support to the relocation procedures
- Duration: Open-ended contract due to technical and scientific activities linked to the project and budget duration
- Holidays: 23 paid vacation days plus 24th and 31st of December per our collective agreement
- Salary: we offer a competitive salary commensurate with the qualifications and experience of the candidate and according to the cost of living in Barcelona
- Starting date: asap
Applications procedure and process
All applications must be submitted via the BSC website and contain:
- A full CV in English including contact details
- A cover/motivation letter with a statement of interest in English, clearly specifying for which specific area and topics the applicant wishes to be considered. Additionally, two references for further contacts must be included. Applications without this document will not be considered.
Development of the recruitment process
The selection will be carried out through a competitive examination system ("Concurso-Oposición"). The recruitment process consists of two phases:
- Curriculum Analysis: Evaluation of previous experience and/or scientific history, degree, training, and other professional information relevant to the position. - 40 points
- Interview phase: The highest-rated candidates at the curriculum level will be invited to the interview phase, conducted by the corresponding department and Human Resources. In this phase, technical competencies, knowledge, skills, and professional experience related to the position, as well as the required personal competencies, will be evaluated. - 60 points. A minimum of 30 points out of 60 must be obtained to be eligible for the position.
The recruitment panel will be composed of at least three people, ensuring at least 25% representation of women.
In accordance with OTM-R principles, a gender-balanced recruitment panel is formed for each vacancy at the beginning of the process. After reviewing the content of the applications, the panel will begin the interviews, with at least one technical and one administrative interview. At a minimum, a personality questionnaire as well as a technical exercise will be conducted during the process.
The panel will make a final decision, and all individuals who participated in the interview phase will receive feedback with details on the acceptance or rejection of their profile.
At BSC, we seek continuous improvement in our recruitment processes. For any suggestions or comments/complaints about our recruitment processes, please contact recruitment@bsc.es.
For more information, please follow this link.
Deadline
The vacancy will remain open until a suitable candidate has been hired. Applications will be regularly reviewed and potential candidates will be contacted.
OTM-R principles for selection processes
BSC-CNS is committed to the principles of the Code of Conduct for the Recruitment of Researchers of the European Commission and the Open, Transparent and Merit-based Recruitment principles (OTM-R). This is applied for any potential candidate in all our processes, for example by creating gender-balanced recruitment panels and recognizing career breaks etc.
BSC-CNS is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or any other basis protected by applicable state or local law.
For more information follow this link
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