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Urgent! Deep Learning Engineer for Language Technologies (RE2) Job Opening In Barcelona – Now Hiring Barcelona Supercomputing Center

Deep Learning Engineer for Language Technologies (RE2)



Job description

Context And Mission


 
The Language Technologies Laboratory at BSC has 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 governments with the mission to develop fundamental open- source resources and technologies for Spanish and Catalan.

In connection with this, the LT Lab is currently in charge of two flagship projects at the national and regional level: the ALIA project, 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 Lab participates in various EU funded international projects.

The LT Lab is looking for candidates with a background in computational linguistics with experience in Language Technologies, specifically in Deep Learning and large language model building, and possibly in other areas of Natural Language and Speech Processing.

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 researcher will implement innovative techniques for language modeling and evaluation in the HPC environment.

 


Este contrato se encuentra financiado por el proyecto “DESARROLLO DE MODELOS DEL LENGUAJE EN EL MARCO DEL PLAN NACIONAL DE TECNOLOGÍAS DEL LENGUAJE, EL PERTE DE NUEVA ECONOMÍA DE LA LENGUA Y EL PLAN DE RECUPERACIÓN, TRANSFORMACIÓN Y RESILIENCIA- FINANCIADO POR LA UNIÓN EUROPEA – NEXTGENERATION EU”, con referencia externa 2023EtL00054, promovido por la Secretaría de Estado de Digitalización e Inteligencia Artificial (SEDIA), cuyos fondos provienen del Ministerio para la Transformación Digital y de la Función Pública, financiado por la Unión Europea-NextGenerationEU».

 



 
Key Duties

 

  • Work, in collaboration with the group members, on the design and development of the solutions needed to achieve the goals of the group’s research projects.

  • Collaborate with the members of the group in the generation and evaluation of language models using Deep Learning techniques (Transformers, Recurrent Neural Networks, and other neural network architectures).

  • All the previous points focusing on the research and deployment of post-training strategies, including instructions processing, algorithm design and evaluation of instructed LLMs.


 
Requirements

 

  • Education

    • Degree in Computer Science, Mathematics or related.



  • Essential Knowledge and Professional Experience

    • Good knowledge of Python.

    • Good knowledge of Linux.

    • Experience in Machine Learning techniques.

    • Knowledge of Deep Learning.

    • Knowledge of Computer Vision



  • Additional Knowledge and Professional Experience

    • Published research in the field of Artificial Intelligence, with a focus on Large Language Models.

    • Knowledge of mathematics and statistics applied to Machine Learning.

    • Experience on training LLMs.

    • Knowledge in the field of multimodal Artificial Intelligence language, vision, and/or speech) is highly valued.

    • Theoretical broad knowledge of AI techniques.

    • Knowledge of HPC workload managers such as Slurm.

    • Knowledge of Continuous Integration/Delivery/Deployment, including tools such as (or similar to) Github and/or Singularity.

    • Basic knowledge of C++, Matlab and/or Java.

    • Experience in machine learning and data mining including knowledge of PyTorch, Tensorflow, Pandas, Scikit-learn and/or Numpy.

    • Knowledge of GPU-based computing, including multi-gpu/multi-node parallelization techniques.

    • Fluency in spoken and written Spanish and English.

      Knowledge of other Spanish co-official languages will be valued.



  • Competences

    • Capacity to explore new research lines.

    • Good communication and presentation skills.

    • Ability to work within a team and within a pair (pair programming).




 
Conditions

 


  • The position will be located at BSC within the Life Sciences Department

  • We offer a full-time contract 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: asap




 


Required Skill Profession

Computer Occupations



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