Software engineer position for Scientific AI

EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than 6,500 people supporting the three main missions of the institutions: education, research and innovation. The EPFL campus offers an exceptional working environment at the heart of a community of more than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries.

Software Engineer Position for Scientific AI

We are looking for a software engineer to support our research in Computer Vision, Machine Learning, and modeling the brain. You will be part of the Alexander Mathis Group of Computational Neuroscience & AI (mathisgroup.org) at EPFL (Geneva, Switzerland). As part of this job, you will develop novel, as well as maintain open source packages such as DeepLabCut, DLC2action, and hBehaveMAE. We strive to publish our work in top journals and machine learning conferences and are committed to open source software. Please check out our GitHub: github.com/amathislab

Requirements:

• Candidates minimally should have a bachelor’s in Computer Science or related fields, and a master's degree or PhD is preferred.
• Candidates without a PhD must be from Switzerland or the EU; PhD holders can be from anywhere in the world.
• Work is onsite at Campus Biotech in Geneva, Switzerland.
• Excellent English verbal and written communication skills and a proven record of effective communication, both written and verbal, with scientists is required.

Profile:

• 3+ years of experience in Python & Machine Learning related technologies such as PyTorch, JAX, and TensorFlow.
• 2+ years of professional software development experience.
• Experience building and scaling systems both on-premise and in the cloud.
• A record of experience working with scientists and other research engineers.

Deadline and Starting Date:

Applications are requested starting as soon as possible and will then be processed as they arrive until the position is filled. The ideal starting date is spring 2025.

Applications should consist of a motivation letter, a CV, two relevant GitHub repositories, and the email addresses of two or more referees. Please send any inquiry by email to alexander.mathis@epfl.ch.

Contract Start Date: as soon as possible.