Research Scientist: Deep Learning Model Compression

Big Science Sweden; Genf; Vor Ort; CHF 80.000 - 100.000; Vollzeit

Zusammenfassung

Big Science Sweden in Geneva, Switzerland, is seeking an experienced professional to help develop advanced methods for compressing deep learning models using innovative techniques. Candidates should have a master’s degree and relevant work experience or a PhD with limited experience. You will be contributing to the pQuant library within a diverse team of computer scientists and physicists focused on making AI models efficient and scalable. This role offers a unique opportunity to engage in cutting-edge research.

Qualifikationen

• 2 to 6 years of professional experience since graduation with a master's degree, or a PhD with a maximum of 3 years.
• No prior contracts with CERN as a fellow or graduate.

Aufgaben

• Help develop methods to compress deep learning models.
• Contribute to the pQuant open-source library.
• Work with an interdisciplinary team conducting research and development.

Ausbildung

Master's degree or PhD in a relevant field

Jobbeschreibung

Big Science Sweden in Geneva, Switzerland, is seeking an experienced professional to help develop advanced methods for compressing deep learning models using innovative techniques. Candidates should have a master’s degree and relevant work experience or a PhD with limited experience. You will be contributing to the pQuant library within a diverse team of computer scientists and physicists focused on making AI models efficient and scalable. This role offers a unique opportunity to engage in cutting-edge research.