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Research Engineer - Machine Learning / LLMs (RE1)
Join to apply for the
Research Engineer - Machine Learning / LLMs (RE1)
role at
Barcelona Supercomputing Center
Research Engineer - Machine Learning / LLMs (RE1)
Join to apply for the
Research Engineer - Machine Learning / LLMs (RE1)
role at
Barcelona Supercomputing Center
Get AI-powered advice on this job and more exclusive features.
Job Reference
89_25_ES_CES_RE1
Position
Research Engineer - Machine Learning / LLMs (RE1)
Closing Date
Sunday, 31 August, 2025
Reference:
89_25_ES_CES_RE1
Job Title:
Research Engineer - Machine Learning / LLMs (RE1)
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.
Look At The BSC Experience
BSC-CNS YouTube 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
We are looking for a machine learning researcher with expertise in large language models (LLMs) to contribute to projects that aim at improving science communication in the context of climate change and mitigation.
This position involves developing and applying LLM-based approaches to enhance the accessibility, accuracy, and impact of climate-related information, bridging the gap between scientific research and broader audiences.
The selected candidate will work on cutting-edge AI research in collaboration with leading experts in machine learning and climate science, contributing to European and applied research projects.
They will have the opportunity to explore innovative AI-driven methods for processing and generating climate-related content, ensuring that complex scientific findings are effectively communicated to policymakers, researchers, and the public.
We seek highly motivated applicants with proven experience in machine learning and LLMs, a strong interest in applied research, and a passion for leveraging AI to address global challenges.
The position offers access to expert training, a multidisciplinary research environment, and BSC-CNS staff benefits, providing an excellent opportunity for career growth in AI for climate science.
Key Duties
Develop and apply large language models for science communication, improving the accessibility and clarity of climate-related information.
Design and implement machine learning models to process, summarize, and generate climate science content for diverse audiences, including researchers, policymakers, and the public.
Conduct experiments and evaluations to assess the effectiveness of LLM-driven approaches in science communication and refine models based on feedback.
Participate in the BSC contributions to several project deliverables
Design and create a large-scale dataset of climate information to be used for training and finetuning machine-learning models
Evaluate the performance of different machine learning models in the communication of climate information
Contribute to scientific publications in high-impact journals and conferences to present the research findings
Requirements
Education
Bachelor's or master's degree in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related field.
Essential Knowledge And Professional Experience
Proven experience in developing and applying Large Language Models (LLMs), including fine-tuning and prompt engineering.
Experience with data preprocessing, model evaluation, and optimization techniques for language models.
Strong background in machine learning and deep learning frameworks such as PyTorch or TensorFlow.
Proficiency in Python and experience with NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK).
Familiarity with climate science concepts or a strong willingness to learn about climate-related challenges.
Ability to work in an interdisciplinary team, collaborating with AI researchers, climate scientists, and science communicators.
Excellent communication skills, with the ability to explain complex AI models and results to non-expert audiences.
Additional Knowledge And Professional Experience
Experience in scientific communication, knowledge distillation, or AI-driven text generation.
Experience working on European or international research projects.
Publications in peer-reviewed conferences or journals
Competences
Problem-solving, pro-active, result-oriented work attitude
Capability to work in an international and fast-paced work
Good written and verbal communication skills in English
Ability to work in a professional environment within a multidisciplinary and international team
Conditions
The position will be located at BSC within the Earth 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: As soon as possible
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.
In this phase, technical competencies, knowledge, skills, and professional experience related to the position, as well as the required personal competencies, will be evaluated.
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
Application Form
You are applying for the following job offer
Name and Surname *
Gender ** *
Female
Male
Other
Email *
Nationality** *
Where did you first see this job offer (Please indicate the name of the website, social media, referral etc.)?
please choose one of this and if needed describe the option : - BSC Website - Euraxess - Spotify - HiPeac - LinkedIn - Networking/Referral: include who and how - Events (Forum, career fairs): include who and how - Through University: include the university name - Specialized website (Metjobs, BIB, other): include which one - Other social Networks: (Twitter, Facebook, Instagram, Youtube): include which one - Other (Glassdoor, ResearchGate, job search website and other cases): include which one
Indicate what BSC department/s you want to apply.
Computer Sciences
CASE
Life Sciences
Earth Sciences
Indicate what research group/s you want to apply.
Upload CV (select the file, then click the Upload button) *
Please, upload your CV document using the following name structure:
Name_Surname_CV
Files must be less than
3 MB
Allowed File Types:
txt rtf pdf doc docx
Cover Letter (optional) (if so, select the file and then click the Upload button)
Please, upload your CV document using the following name structure:
Name_Surname_CoverLetter
Files must be less than
3 MB
Allowed File Types:
txt rtf pdf doc docx zip
Other Documents (optional) (if so, select the file and then click the Upload button)
Please, upload your CV document using the following name structure:
Name_Surname_OtherDocument
Files must be less than
10 MB
Allowed File Types:
txt rtf pdf doc docx rar tar zip
Consider that the information provided in relation to gender and nationality will be used solely for statistical purposes.
Data policy: *
I accept the data policy *
Other: *
I confirm that the information given in this form is true, complete and accurate.
Leave this field blank
Seniority level
Seniority level
Entry level
Employment type
Employment type
Contract
Job function
Job function
Engineering and Information Technology
Industries
Research Services
Referrals increase your chances of interviewing at Barcelona Supercomputing Center by 2x
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Join to apply for the
Research Engineer - Machine Learning / LLMs (RE1)
role at
Barcelona Supercomputing Center
Research Engineer - Machine Learning / LLMs (RE1)
Join to apply for the
Research Engineer - Machine Learning / LLMs (RE1)
role at
Barcelona Supercomputing Center
Get AI-powered advice on this job and more exclusive features.
Job Reference
89_25_ES_CES_RE1
Position
Research Engineer - Machine Learning / LLMs (RE1)
Closing Date
Sunday, 31 August, 2025
Reference:
89_25_ES_CES_RE1
Job Title:
Research Engineer - Machine Learning / LLMs (RE1)
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.
Look At The BSC Experience
BSC-CNS YouTube 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
We are looking for a machine learning researcher with expertise in large language models (LLMs) to contribute to projects that aim at improving science communication in the context of climate change and mitigation.
This position involves developing and applying LLM-based approaches to enhance the accessibility, accuracy, and impact of climate-related information, bridging the gap between scientific research and broader audiences.
The selected candidate will work on cutting-edge AI research in collaboration with leading experts in machine learning and climate science, contributing to European and applied research projects.
They will have the opportunity to explore innovative AI-driven methods for processing and generating climate-related content, ensuring that complex scientific findings are effectively communicated to policymakers, researchers, and the public.
We seek highly motivated applicants with proven experience in machine learning and LLMs, a strong interest in applied research, and a passion for leveraging AI to address global challenges.
The position offers access to expert training, a multidisciplinary research environment, and BSC-CNS staff benefits, providing an excellent opportunity for career growth in AI for climate science.
Key Duties
Develop and apply large language models for science communication, improving the accessibility and clarity of climate-related information.
Design and implement machine learning models to process, summarize, and generate climate science content for diverse audiences, including researchers, policymakers, and the public.
Conduct experiments and evaluations to assess the effectiveness of LLM-driven approaches in science communication and refine models based on feedback.
Participate in the BSC contributions to several project deliverables
Design and create a large-scale dataset of climate information to be used for training and finetuning machine-learning models
Evaluate the performance of different machine learning models in the communication of climate information
Contribute to scientific publications in high-impact journals and conferences to present the research findings
Requirements
Education
Bachelor's or master's degree in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related field.
Essential Knowledge And Professional Experience
Proven experience in developing and applying Large Language Models (LLMs), including fine-tuning and prompt engineering.
Experience with data preprocessing, model evaluation, and optimization techniques for language models.
Strong background in machine learning and deep learning frameworks such as PyTorch or TensorFlow.
Proficiency in Python and experience with NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK).
Familiarity with climate science concepts or a strong willingness to learn about climate-related challenges.
Ability to work in an interdisciplinary team, collaborating with AI researchers, climate scientists, and science communicators.
Excellent communication skills, with the ability to explain complex AI models and results to non-expert audiences.
Additional Knowledge And Professional Experience
Experience in scientific communication, knowledge distillation, or AI-driven text generation.
Experience working on European or international research projects.
Publications in peer-reviewed conferences or journals
Competences
Problem-solving, pro-active, result-oriented work attitude
Capability to work in an international and fast-paced work
Good written and verbal communication skills in English
Ability to work in a professional environment within a multidisciplinary and international team
Conditions
The position will be located at BSC within the Earth 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: As soon as possible
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
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.
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
Application Form
You are applying for the following job offer
Name and Surname *
Gender ** *
Female
Male
Other
Email *
Nationality** *
Where did you first see this job offer (Please indicate the name of the website, social media, referral etc.)?
please choose one of this and if needed describe the option : - BSC Website - Euraxess - Spotify - HiPeac - LinkedIn - Networking/Referral: include who and how - Events (Forum, career fairs): include who and how - Through University: include the university name - Specialized website (Metjobs, BIB, other): include which one - Other social Networks: (Twitter, Facebook, Instagram, Youtube): include which one - Other (Glassdoor, ResearchGate, job search website and other cases): include which one
Indicate what BSC department/s you want to apply.
Computer Sciences
CASE
Life Sciences
Earth Sciences
Indicate what research group/s you want to apply.
Upload CV (select the file, then click the Upload button) *
Please, upload your CV document using the following name structure:
Name_Surname_CV
Files must be less than
3 MB
Allowed File Types:
txt rtf pdf doc docx
Cover Letter (optional) (if so, select the file and then click the Upload button)
Please, upload your CV document using the following name structure:
Name_Surname_CoverLetter
Files must be less than
3 MB
Allowed File Types:
txt rtf pdf doc docx zip
Other Documents (optional) (if so, select the file and then click the Upload button)
Please, upload your CV document using the following name structure:
Name_Surname_OtherDocument
Files must be less than
10 MB
Allowed File Types:
txt rtf pdf doc docx rar tar zip
Consider that the information provided in relation to gender and nationality will be used solely for statistical purposes.
Data policy: *
I accept the data policy *
Other: *
I confirm that the information given in this form is true, complete and accurate.
Leave this field blank
Seniority level
Seniority level
Entry level
Employment type
Employment type
Contract
Job function
Job function
Engineering and Information Technology
Industries
Research Services
Referrals increase your chances of interviewing at Barcelona Supercomputing Center by 2x
Sign in to set job alerts for "Research Engineer" roles.
Research Engineer For High-Fidelity Thermo-Mechanical Simulations For Solid Oxide Electrolyzer [...]
AI Lab - ML and Data Science freeform submission
Sant Just Desvern, Catalonia, Spain 2 weeks ago
Robotics Researcher - Autonomous Navigation
Robotics Researcher - Autonomous Navigation
Robotics Software Engineer – Cognitive Robotics
Junior Research Engineer Biomolecular Simulations (MDDB/BioExcel) (RE1)
Researcher - High-resolution global climate modeller (R2)
Machine Learning Engineer (RE1-2) – AI Factory (Earth Sciences Department)
Robotics Software Engineer – Cognitive Robotics
Open positions Scientist/Analyst (Join us!)
DATA SCIENTIST AND MACHINE LEARNING ENGINEER - Energy and Food
Internet of Things (IoT) Researcher Engineer
Scientist for Biologics and Advanced Therapies Analysis (afternoon shift)
Castelldefels, Catalonia, Spain 22 hours ago
Research Engineer - Ai Solutions For Safety-Critical Systems (Re1)
Deep Learning Engineer - Robotics & AI Startup (THEKER)
Established Researcher Data Scientist (R2)
We're unlocking community knowledge in a new way.
Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr
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