Senior Research Engineer for Language Technologies

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AI Summary

We are seeking a Senior Research Engineer for Language Technologies to join our team at the Barcelona Supercomputing Center. The successful candidate will work in a highly sophisticated HPC environment, implementing innovative techniques for language modelling and evaluation. The role requires a strong background in computational linguistics, experience in Language Technologies, and expertise in Deep Learning and large language model building.

Key Highlights
Coordinate and lead the post-training team
Implement synthetic data generation pipelines
Research and deploy comprehensive post-training strategies
Key Responsibilities
Coordinate and lead the post-training team
Ensure instructed LLMs are accessible and strictly optimized for specific downstream use cases
Develop and implement synthetic data generation pipelines
Technical Skills Required
Python Linux Bash scripting PyTorch DeepSpeed Megatron NeMo Slurm Docker Singularity Weights & Biases SQL C/C++
Benefits & Perks
Competitive salary
Full-time contract
Good working environment
Flexible working hours
Extensive training plan
Restaurant tickets
Private health insurance
Support to relocation procedures
Nice to Have
Published research in the field of Natural Language Processing
Strong theoretical and applied mathematical background

Job Description


Job Reference

108_26_LS_LT_RE2

Position

Senior Research Engineer for Language Technologies (RE3)

Closing Date

Tuesday, 24 March, 2026

Reference: 108_26_LS_LT_RE2

Job title: Senior Research 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.

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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 modelling and evaluation in the HPC environment.

Key Duties

  • Coordinate and lead the post-training team to drive the alignment and instruction-tuning strategy for massive language models.
  • Ensure instructed LLMs are accessible and strictly optimized for specific downstream use cases.
  • Develop and implement synthetic data generation pipelines designed to enhance model reasoning and instruction-following capabilities.
  • Research and deploy comprehensive post-training strategies, including instruction processing, algorithm design, and the rigorous evaluation of instructed LLMs.
  • Adapt alignment frameworks for deployment on MareNostrum 5.

Requirements

  • Education
    • Degree in Computer Science, Mathematics or related.
  • Essential Knowledge and Professional Experience
    • Advanced proficiency in Python, Linux, and Bash scripting.
    • Extensive hands-on experience with AI frameworks for alignment, specifically PyTorch, DeepSpeed, Megatron, NeMo.
    • Deep knowledge of HPC infrastructure and workload managers, specifically Slurm.
    • Proven capability to engineer and execute deep learning pipelines in restricted HPC network environments.
  • Additional Knowledge and Professional Experience
    • Published research in the field of Natural Language Processing.
    • Strong theoretical and applied mathematical background.
    • Hands-on experience with containerization technologies, specifically Docker and Singularity.
    • Experience tracking large-scale machine learning experiments using Weights & Biases.
    • Practical knowledge of relational database architecture and SQL.
    • Knowledge of C/C++.
    • Experience on training LLMs.
    • Knowledge of Continuous Integration/Delivery/Deployment, including tools such as (or similar to) Github and/or Singularity.
    • Fluency in spoken and written Spanish and English. Knowledge of other Spanish co-official languages will be valued.
    • Theoretical knowledge of AI techniques.
  • Competences
    • Strong leadership skills with a proven ability to coordinate technical teams.
    • Capacity to independently explore new research lines and engineer innovative workarounds for complex infrastructure limitations.
    • Ability to work within a team.
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 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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