Deep Learning Engineer for Speech Technologies - Barcelona, España - Barcelona Supercomputing Center (BSC)
Descripción
Job Reference:
- 232_24_LS_LT_RE2
Position: - Deep Learning Engineer for Speech Technologies (RE2)
Closing Date: - Friday, 17 May, 2024
Reference: 232_24_LS_LT_RE2
Job title: Deep Learning Engineer for Speech 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 largescale 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.
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- BSC-CNS YouTube Channel
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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 underresourced languages and domains. It has been entrusted by the Spanish and the Catalan government to develop fundamental opensource resources and technologies for Spanish and Catalan.
the Spanish National Language Technology Plan, 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 Speech Technologies, specifically in Deep Learning and model building for tasks such as speech recognition, synthesis and translation.
Key Duties - Design and implement deep learning models for speech related tasks
- 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 in deep learning frameworks and the relevant area(s).
- Demonstrated experience in speech and audio processing
- Knowledge on 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 fulltime contract (37.5h/week), a good working environment, a highly stimulating environment with stateoftheart infrastructure, flexible working hours, extensive training plan, restaurant tickets, private health insurance, support to the relocation procedures
- Duration: Openended 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
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.
DeadlineOTM-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.
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