Machine Learning Scientist • Switzerland
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The University of Applied Sciences and Arts Western Switzerland Valais (HES-SO Valais-Wallis) has over 2,800 students. Through research and innovation, it contributes to economic and social development and the creation of jobs. The new Energypolis campus, home to the School of Engineering, EPFL and modern start-ups, is an innovative ecosystem for education and research. Why not come and join us?
The School of Engineering of the HES-SO Valais-Wallis is seeking a:
Scientific Collaborator in Machine Learning (80-100%)
This role offers a unique opportunity to work in a fast-paced and dynamic research environment in the heart of the Swiss Alps. You will conduct research in machine learning and artificial intelligence, with a primary focus on fine-tuning large language models for spear phishing detection and distilling fast predictors from larger models. This project is carried out in close collaboration with a major IT partner in Switzerland. The position may also include teaching responsibilities.
Key Responsibilities:
Conduct research and development in machine learning, with a focus on large language models (fine-tuning, distillation).
Engage in regular project meetings and contribute to the academic community at the School of Engineering.
Collaborate with faculty and other researchers on research and innovation projects.
Contribute to teaching activities, including tutoring and grading.
Qualifications:
A Master's degree or higher in computer science, machine learning, or a related field. A PhD degree is a strong asset.
Proven experience in machine learning. Experience in deep learning and fine-tuning large language models is a strong asset.
Excellent programming skills in Python and experience with data-intensive programming. Good knowledge of PyTorch and/or JAX is a strong asset.
Strong analytical and problem-solving skills.
Effective communication skills and the ability to work both collaboratively and independently.
Proficiency in English (minimum B2 level in both written and spoken communication) is required. Operational French (around B1) is an advantage for informal daily interactions and participation in teaching activities.
Complementary information
Employment rate: 80-100%
Place of work: Sion, with the possibility of hybrid work
Starting date: 1 May 2026 or by agreement
Duration: 24 months
For further information, please contact Prof. Gregory Mermoud (gregory.mermoud(a)
Please submit your complete application documents (CV, motivation letter, diplomas and certificates) by 5 April 2026 by clicking on the Apply button. Only online applications will be considered.
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