Job Reference
230_24_LS_LT_RE2
Position
Deep Learning Engineer for Language Technologies (RE2)
Data de tancament
Divendres, 17 Maig, 2024
Reference: 230_24_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 900 staff from 55 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.
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.
Context And Mission
The Language Technologies (LT) Unit at BSC has a consolidated experience in several NLP areas, such as massive language model building, biomedical text mining, machine translation and unsupervised learning. It has been entrusted by the Spanish and the Catalan government with the mission to develop essential open-source resources and technologies for Spanish and Catalan. In connection with this, the LT Unit is currently in charge of two flagship projects at the national and regional levels: the Spanish National Plan for the Advancement of Language Technology, 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 Unit at BSC is looking for a Machine Learning engineer with experience in Language Technologies, specifically in Deep Learning and large language model building, and possibly in other Natural Language and Speech Processing areas.
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 LT Unit at BSC is looking for a Machine Learning engineer with experience in Language Technologies, specifically in Deep Learning and large language model building, and possibly in other Natural Language and Speech Processing areas.
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
- Prepare model training in HPC clusters.
- Ensure the quality of the models
- Document and publish the models on open platforms.
- Apply for research projects
- Write research papers
Requirements
-
Education
- Degree in Computer Science, Telecommunications, Applied linguistics or related disciplines
-
Essential Knowledge and Professional Experience
- Demonstrated experience in deep learning frameworks and the relevant area(s).
- Knowledge of version control tools and MLOps best practices
- Native or good level of spoken and written English
-
Additional Knowledge and Professional Experience
- Demonstrated experience in developing open-source software and resources
- Native or good level of spoken and written Catalan and/or Spanish
- Strong understanding of linguistic concepts
-
Competences
- Ability to work independently and in a team to complete tasks on schedule.
- Ability to work under set deadlines
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: 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: 01/05/2024
Applications procedure and process
All applications must be made through BSC website and contain:
A full CV in English including contact details
A Cover Letter with a statement of interest in English, including two contacts for further references - Applications without this document will not be considered
In accordance with the OTM-R principles, a gender-balanced recruitment panel is formed for every vacancy at the beginning of the process. After reviewing the content of the applications, the panel will start the interviews, with at least one technical and one administrative interview. A profile questionnaire as well as a technical exercise may be required during the process.
The panel will make a final decision and all candidates who had contacts with them will receive a feedback with details on the acceptance or rejection of their profile.
At BSC we are seeking continuous improvement in our recruitment processes, for any suggestions or feedback/complaints about our Recruitment Processes, please contact recruitment [at] bsc [dot] es.
For more information follow this link
In accordance with the OTM-R principles, a gender-balanced recruitment panel is formed for every vacancy at the beginning of the process. After reviewing the content of the applications, the panel will start the interviews, with at least one technical and one administrative interview. A profile questionnaire as well as a technical exercise may be required during the process.
The panel will make a final decision and all candidates who had contacts with them will receive a feedback with details on the acceptance or rejection of their profile.
At BSC we are seeking continuous improvement in our recruitment processes, for any suggestions or feedback/complaints about our Recruitment Processes, please contact recruitment [at] bsc [dot] es.
For more information 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
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