Overview Starting date: asapJob Reference: 29_26_LS_LT_RE2Position: Machine Learning Engineer for Language Technologies (RE2)Closing Date: Sunday, 08 February, ****About BSC - Barcelona Supercomputing Center (BSC-CNS) is the leading supercomputing center in Spain.
It houses MareNostrum and supports open research in computer and computational science with over **** staff from 60 countries.Context and Mission: The Language Technologies Laboratory at BSC has experience in NLP areas such as large language model deployment, biomedical text mining, machine translation and unsupervised learning for under-resourced languages.
The LT Laboratory is involved in national projects (ALIA Plan, AINA) and EU-funded initiatives.
The unit seeks a Full-stack Machine Learning / Deep Learning Engineer/Developer with experience in Language Technologies, ML and LLM deployment, plus front-end and back-end web development to contribute to adoption of modern AI for Iberian languages.
The successful candidate will work in an HPC environment with access to state-of-the-art systems and collaborate with experts locally and internationally.Key DutiesDesign and implement proof of concept NLP applications using LLMs and other AI resources.Prepare model training and fine-tuning in HPC clusters.Curate training and benchmarking datasets to measure application performance.Evaluate the quality of the models and datasets.Document and publish the models on open platforms.RequirementsEducation Degree in Computer Science, Telecommunications, Applied linguistics or related disciplines.
Having a Master's degree will be valued.Essential Knowledge and Professional Experience Demonstrated experience of at least 3 years in deep learning or ML frameworks and in the relevant area(s).
Demonstrated experience coding NLP applications in Python and other programming languages.Knowledge of version control tools and best practices.Native or good level of spoken and written English and Catalan and/or Spanish.Additional Knowledge and Professional Experience Demonstrated experience in developing open-source software and resources.Demonstrated experience in working in dynamic ML teams.Familiarity with Transformers, Gensim, Gradio, Hugging Face environment, Pytorch, Langchain and other NLP, UI and ML libraries.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.ConditionsThe position will be located at BSC within the Life Sciences Department.Full-time contract (37.5h/week) with adaptable hours, extensive training plan, restaurant tickets, private health insurance, relocation support.Duration: Open-ended contract tied to project and budget duration.Holidays: 22 days + 6 personal days + 24th and 31st of December.Salary: Competitive salary commensurate with qualifications and cost of living in Barcelona.Starting date: asap.Applications procedure and processAll applications must be submitted via the BSC website and include: a full CV in English with contact details; a cover/motivation letter in English specifying areas of interest and two references.
Applications without these documents will not be considered.Development of the recruitment processThe selection is carried out through a competitive examination system (Concurso-Oposición) with two phases: Curriculum Analysis (40 points) and Interview (60 points).
A minimum of 30 points in the interview phase is required to be eligible.
The recruitment panel will include at least three people with gender-balanced representation.
Details follow the European OTM-R principles.
Feedback is provided to all interview participants.
For questions on recruitment, contact ****** more information follow this link.
Deadline: The vacancy remains open until a suitable candidate is hired.
Applications reviewed regularly.OTM-R principles and equal opportunityBSC-CNS adheres to the Open, Transparent and Merit-based Recruitment principles and the Code of Conduct for the Recruitment of Researchers.
We are an equal opportunity employer, considering all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other protected status.Note : This description preserves the original content and intent while presenting it in clean, accessible HTML using only allowed tags.
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