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Machine Learning Engineer Language Technologies; RE

Trabajo disponible en: 08001, Barcelona, Cataluna, España
Empresa: EURAXESS Ireland
Tiempo completo posición
Publicado en 2026-01-20
Especializaciones laborales:
  • TI/Tecnología
    Científico de datos, Ingeniero de IA, Machine Learning, Ingeniero de datos
Rango Salarial o Referencia de la Industria: 90000 - 110000 EUR Anual EUR 90000.00 110000.00 YEAR
Descripción del trabajo
Puesto: Machine Learning Engineer for Language Technologies (RE2)

Organisation/Company BARCELONA SUPERCOMPUTING CENTER Research Field All Researcher Profile Recognised Researcher (R2) Positions Other Positions Final date to receive applications 8 Feb 2026 - 23:59 (Europe/Madrid) Country Spain Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

Reference: _LS_LT_RE2

Job title: Machine 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 Mare Nostrum, 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 You Tube Channel
  • Let'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 a 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 government to develop fundamental open-source resources and technologies for Spanish and Catalan. In connection with this, the LT Laboratory is currently in charge of two flagship projects at the national and regional level: the ALIA Plan, 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.

The LT Laboratory at BSC is looking for a Full-stack Machine Learning/Deep Learning Engineer/Developer, with experience in Language Technologies, specifically in Machine Learning and Large Language Model deployment and fine tuning, as well as front-end and back-end web development to contribute to its efforts at widespread adoption of modern AI technologies for Iberian languages.

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.

Key Duties
  • Design and implement proof of concept NLP applications using LLMs and other AI resources.
  • Prepare model training and fine-tuning in HPC clusters.
  • Curate training and benchmarking datasets to measure application performance.
  • Evaluate the quality of the models and datasets.
  • Document and publish the models on open platforms.
Requirements
  • Education
    • Degree in Computer Science, Telecommunications, Applied linguistics or related disciplines. Having a Master’s degree will be valued.
  • Essential Knowledge and Professional Experience
    • Demonstrated experience of at least 3 years in deep learning or ML…
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