Deep Learning Engineer for Language Technologies

Starting date: 01/04/2026

Job Reference

109_26_LS_LT_RE2

Position

Deep Learning Engineer for Language Technologies (RE2)

Closing Date

Tuesday, 24 March, ****

Reference:

109_26_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 **** 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 Modeling Team at the newly created AI Institute hosted at BSC has consolidated experience in several NLP areas, such as massive language model building, biomedical text mining, 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 LM team 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 Unit participates in various EU funded international projects.

In this context, the newly created AI Institute is looking for talent to help design and improve its operations and infrastructure.

The Language Modeling Team 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.

Key Duties

Work closely with colleagues on the design and implementation of solutions required to achieve the group's goals.

Contribute to the pre-training and post-training of language models, ensuring high-quality and robust performance.

Deploy models for inference in the most efficient way possible, supporting internal evaluation, synthetic data generation, and experimentation workflows.

Optimize existing pipelines and workflows, maximizing cluster resource utilization and ensuring scalability.

Design and propose new research projects, translating innovative ideas into experiments and scientific publications.

Maintain high standards of code quality, documentation, and reproducibility, enabling the team to build upon previous work effectively.

Requirements

Education

Master's degree in Computer Science, Mathematics, Machine Learning, or a related technical field.

Essential Knowledge And Professional Experience

5+ years of proven experience in Natural Language Processing projects.

5+ years of professional experience in Python development.

Track record of publications at major AI venues.

Experience with full training pipelines, not just fine-tuning.

Advanced knowledge of High Performance Computing (HPC).

Hands-on experience with one or more of the following tools: PyTorch, Megatron-LM, NeMo, Transformers, vLLM.

Additional Knowledge And Professional Experience

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Research literacy and the ability to read, reproduce, and extend state-of-the-art papers.

Basic knowledge of mathematics and statistics applied to Deep Learning.

Theoretical broad knowledge of Deep Learning techniques.

Knowledge of HPC workload managers such as Slurm.

Familiarity with monitoring tools such as Weights & Biases (W&B) or TensorBoard.

Knowledge of Continuous Integration / Continuous Delivery (e.g. GitHub).

Hands-on experience with containerization (e.g. Docker and/or Singularity).

Basic knowledge of other programming languages such as C++, Matlab and/or Java.

Experience with machine learning libraries, including 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 Catalan, Spanish and English.

Comfortable working in Linux environments.

Competences

Capacity to explore new research lines.

Good communication and presentation skills.

Ability to collaborate effectively in team-based environments, including pair programming settings.

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: 22 days of holidays + 6 personal days + 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: 01/04/2026

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 ******.

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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