Ml Engineer, Speech Tech For Tts/Asr At Hpc Center

Barcelona Supercomputing Center; Barcelona; On-site; EUR 45,000 - 60,000; Full time

Benefits offered by this job

Restaurant tickets

Private health insurance

Relocation assistance

Job summary

The Barcelona Supercomputing Center (BSC-CNS) invites applications for a Machine Learning Engineer specializing in speech technologies. Located in Barcelona, this full-time position focuses on deep learning for TTS, with emphasis on Catalan and Spanish language resources.

You will work within the AI Institute’s Speech Team, contribute to research papers, collaborate with international teams, and supervise junior engineers.

Qualifications

• Master's degree in Electronic Eng., CS or Math with speech processing focus.
• 4+ years of machine learning experience; 2+ years in DL frameworks.
• Proficiency in Linux, Python, DL libraries, Git, HF.

Responsibilities

• Participation in current projects related to TTS technologies, including but not limited to research, documentation and deliverables.
• Preparation and presentation of scientific articles
• Supervision junior research engineers
• Participation in internal group meetings and other scientific discussions

Skills

Machine learning

Deep learning

English communication

Education

Master's degree in Electronic engineering / CS / Mathematics

Tools

Linux

Python

Deep learning libraries

git

HF

Job description

Reseach engineer for speech-to-text technology (RE3)

Job Reference: 447_26_AII_S_RE3

Starting date: 01/11/26

Closing Date: Tuesday, 20 October

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.

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 Speech Team at the newly established AI Institute hosted at BSC brings together extensive expertise in several areas, including automatic speech recognition, speech synthesis, and speech LLMs, with a particular emphasis on low-resource languages and settings.

In addition, the AI Institute has been entrusted by both the Spanish and Catalan governments with the mission of developing foundational open-source resources and technologies for Spanish and Catalan.

The Speech Team contributes to two flagship national initiatives: the AINA project, funded by the Catalan Ministry of Digital Policy and aimed at advancing AI resources for Catalan, and the ALIA project, funded by the Spanish Secretariat of Digitalisation and Artificial Intelligence and aimed at AI resources for the co-oficial languages in Spain.

The team also participates in a range of EU- and other nationally funded research projects.

The team is seeking a Machine Learning Engineer with experience in speech technologies, particularly in deep learning and model development for speech synthesis.

Key Duties

• Participation in current projects related to TTS technologies, including but not limited to research, documentation and deliverables
• Preparation and presentation of scientific articles
• Supervision junior research engineers
• Participation in internal group meetings and other scientific discussions

Requirements

• Education: A master's degree in Electronic engineering, Computer Science, Mathematics or related, with specialization in speech processing and recognition, and background in computation
• Essential Knowledge and Professional Experience:
  • Demonstrated experience of at least 4 years in machine learning
  • Demonstrated experience of at least 2 years in deep learning frameworks and in the relevant area(s)
• Additional Knowledge and Professional Experience:
  • Technical skills: Linux, Python, Deep learning libraries, git, HF
• Competences:
  • Ability to access and evaluate scientific literature
  • Ability to work under set deadlines
  • Good communication skills in English, both oral and written.
  • Catalan and Spanish are a plus.

Conditions

• Location: The position will be located at BSC within the Directors Department
• Contract: full-time contract (35h/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: 01/11/26

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).

These are applied for any potential candidate in all our processes, for example by creating gender‑balanced recruitment panels and recognizing career breaks etc.

Equal Opportunity

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.