Job offer

The position will be in the framework of the ERC Starting Grant DYNASTY (Dynamics-Aware

Theory of Deep Learning).

The position might include traveling to conferences for paper presentation. Travel expenses will

be covered within the limits of the scale in force.

We are seeking a Machine Learning Engineer to design and develop a Python software library for evaluating theoretical generalization bounds in deep learning.

The objective is to bridge the gap between theoretical advances in learning theory and practical deep learning by providing a modular, efficient, and user-friendly framework for computing and comparing generalization bounds on modern neural networks.

Conduct experiments for empirical verification

Prepare software libraries

Write scientific articles

Disseminate the scientific work in appropriate venues.

• Strong Python programming skills and experience with PyTorch.
• Solid understanding of machine learning and deep learning.
• Experience in scientific software development, testing, and version control.
• Familiarity with statistical learning theory and generalization bounds is a plus.
• Ability to work collaboratively with researchers and translate mathematical concepts into reliable software.

Languages FRENCH

• Subsidized meals
• Partial reimbursement of public transport costs
• Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.)
• Possibility of teleworking and flexible organization of working hours
• Professional equipment available (videoconferencing, loan of computer equipment, etc.)
• Social, cultural and sports events and activities
• Access to vocational training
• Social security coverage

Selection process