Deep Learning Engineer for Language Technologies Re2
hace 2 meses
**Job Reference**:
- 608_24_LS_LT_RE2**Position**:
- Deep Learning Engineer for Language Technologies RE2**Closing Date**:
- Thursday, 17 October, 2024**Reference**: 608_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 1000 staff from 60 countries.
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BSC-CNS YouTube Channel
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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.**Context And Mission**
- The Language Technologies 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 for under-resourced languages and domains. It has been entrusted by the Spanish and the Catalan government, with the mission to develop fundamental open-source resources and technologies for Spanish and Catalan. The Unit participates in various national and EU funded projects.
The LT Unit at BSC is looking for a Machine Learning engineer with experience in Language Technologies, Deep Learning and large language model building.**Key Duties**
- Manage corpora and language data.
- Prepare model training in HPC clusters
- Ensure the quality of the models
- Document and publish the models on open platforms
- Write research papers
**Requirements**:
- Education
- Degree in Computer Science, Telecommunications, Applied linguistics or related disciplines
- Essential Knowledge and Professional Experience
- Demonstrated experience of at least 3 years in deep learning frameworks and in the relevant area(s).
- Knowledge on version control tools, and MLOps best practices
- 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
- Native or good level of spoken and written English
- 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 part-time contract (18,75h/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
- Starting date: asap
**Applications procedure and process**
- 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
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**OTM-R principles for selection processes**
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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