12638 -Scientific Software Developers applied to Machine Learning

at  CMCC Foundation

WHAT WE ARE LOOKING FOR

Our Advanced Scientific Computing (ASC) Division is looking for 2 Scientific Software Developers for machine learning applications responsible for supporting the division in the design, development, and deployment of AI-based applications for climate science.

ABOUT US

CMCC Foundation is a cross-cutting scientific research center on climate change and its interactions with the environment, society, the world of business, and policymakers. Our work aims to stimulate sustainable growth, protect the environment, and develop strategies for the adaptation and mitigation of climate change. CMCC’s core objective is to conduct cutting-edge science, to train the next generation of scientists at both national and international levels, and to be a beacon for climate modelling.
CMCC pursues fundamental and applied science with utmost scientific integrity, prioritizing data-driven science and providing data, information, and research results that can support informed public debate and decision-making processes. To achieve climate research objectives at the highest international standards, we invest in training all our talents, and strive to create a workplace where everyone can excel.
At CMCC you will find a strong, professional environment. Join an inclusive community that values diversity, where every voice is heard and respected. Help foster a culture of innovation and societal change, where individuals from all backgrounds can thrive and succeed.
Over the last decade, CMCC has experienced extraordinary growth. We are now embarking on a new chapter of our journey that will further boost CMCC’s global position in climate change research…Together!

REQUIREMENTS

• M.Sc. degree in Computer Science, Computer Engineering or equivalent fields
• Good knowledge of Data Science (DS), Machine Learning (ML) and Deep Learning (DL) fundamentals.
• Demonstrated experience in programming with Python and knowledge of Python scientific libraries and tools (i.e., numpy, pandas, matplotlib, Jupyter notebooks);
• Relevant experience with at least one DL framework (e.g., TensorFlow, Keras, PyTorch, Lightining).
• Fluency in both written and spoken English language;
• Ability to work in a team and independently.

ADDITIONAL SKILLS

• An added value would be the experience with climate science-related data formats (e.g., NetCDF or Zarr) and Python libraries (e.g., Xarray, cartopy);
• Experience with version control system tools (i.e., Git/GitHub) and MLOps solutions (e.g., MLFlow);
• Knowledge of HPC and distributed environments, as well as training massive DL models with such environments;
• Flexibility to work on a diverse range of tasks and to manage deadlines;
• Contributing to scientific paper production.

ROLE

The Scientific Software Developers applied to Machine Learning report to the ASC Director and are responsible for supporting the division in all the stages related to the design, development, deployment and documentation of AI-based solutions for climate science, related to extreme event, foundation model and downstream applications. The developers will also be responsible for the execution of the developed model on distributed/parallel architectures.

RESPONSIBILITIES

The Scientific Software Developers applied to Machine Learning will support the ASC division, with:

• Design and development of AI-based applications for climate science including the different steps of the workflow: e.g., data preparation, large ML model design and optimization, results evaluation and post-processing;
• Deployment the developed ML models on GPU-based infrastructures also exploiting software platforms for automating and optimizing their execution;
• Drafting of scientific reports and technical documentation related to the implemented AI-based solutions.