Machine learning engineer for climate science

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.

• 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.

• Bachelor's or Master’s in Computer Science, Machine Learning, Data Science, Environmental Sciences, or a related field.
• Strong 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.
• Strong 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.
• Будет плюсом: Familiarity 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

• We offer a full-time contract (35h/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: 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 Barcelona
• Starting date: As soon as possible