The Barcelona Supercomputing Center (BSC) is seeking a Machine Learning Engineer to join the Earth Sciences department within the framework of the AI Factory initiative.
The AI Factory is a major European project aimed at accelerating the adoption and development of artificial intelligence across industry sectors that is deploying a comprehensive set of AI-focused services, including robust training, networking, and innovation support structures.
Its mission is to foster the uptake and effective use of AI, particularly among SMEs and startups across participating countries, and to strengthen the European innovation ecosystem.
These services are powered by the AI-specific partition of the MareNostrum5 supercomputer, one of the most advanced infrastructures in Europe, designed to meet the evolving AI needs by harnessing the latest AI-oriented computing technologies.
Within the Earth Sciences department, the selected candidate will support the development and deployment of AI services related to climate change use and test cases, contributing to real-world applications and scientific advancements.
Additionally, the selected candidate will be coordinating the availability and integration of AI software, developed internally by consortium members or externally by third parties, on the MareNostrum5 AI partition, ensuring smooth support for the wider AI Factory user community.
This project is funded by the European Union's Recovery and Resilience Facility, in accordance with Council Regulation (EU) *** of 14 December , and regulated by Regulation (EU) ** of the European Parliament and of the Council of 12 February **, in the context of the "BSC AI Factory" project.
This project has received funding from the European High-Performance Computing Joint Undertaking (JU)



under grant agreement No *** and Spain, Portugal, Romania and Türkiye.
The JU receives support from the European Union's Horizon Europe Programme.
It is also co-funded by the Spanish Ministry for Digital Transformation and the Civil Service and counts with the support of the Government of Catalonia.
Key Duties
Support the documentation and curation of AI software employed in the AI Factory
Support the deployment and maintenance of AI software on MareNostrum5 AI partition
Design, implement, and optimize machine learning pipelines for environmental-related applications.
Collaborate with domain scientists and external users to develop AI solutions
Support users from the AI Factory in accessing and utilizing AI tools and services
Participate in collaborative development within the AI Factory consortium
Participate in technical reporting and scientific publications contributing to the documentation of the AI Factory software, with opportunities to be involved in academic publications and project reporting.
Requirements
EducationBachelor's or Master's in Computer Science, Machine Learning, Data Science, Environmental Sciences, or a related field
Essential Knowledge and Professional ExperienceStrong programming skills in Python, with experience in machine learning libraries such as PyTorch, Tensorflow, and Scikit-learn




Proven experience in developing and training machine learning models, particularly deep learning architectures
Strong background in handling, analyzing, and validating large-scale datasets
Experience working in a UNIX-based computational environment
Additional Knowledge and Professional ExperienceFamiliarity with climate, weather, and Earth system datasets (NetCDF, Zarr)
Experience in high-performance computing (HPC) and parallelized machine learning workflows
Proficiency in GPU-accelerated machine learning frameworks such as TensorFlow, RAPIDS, JAX, and/ or distributed training using Dask
Understanding of climate and weather models
CompetencesStrong problem-solving and analytical skills, with the ability to optimize computational workflows
Ability to work independently while collaborating effectively in a research environment
Excellent communication skills, with a strong ability to document and present research findings
Proficiency in written and spoken English
Conditions
The position will be located at BSC within the Earth Sciences Department
We offer a full-time contract (35h/week), a good working environment, a highly stimulating environment with state-of-the-art infrastructure
Adaptable 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: 22 days of holidays + 6 personal days + 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

📌 Machine Learning Engineer (Barcelona)
🏢 HiPEAC
📍 Barcelona