> Markdown version of [/jobs/ext/3741431-job-offer](https://www.wearedevelopers.com/jobs/ext/3741431-job-offer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Job offer

- **Company:** Inria
- **Location:** Le Chesnay-Rocquencourt, France (Remote available)
- **Contract:** Temporary contract
- **Skills:** Artificial Neural Networks, Python (Programming Language), Machine Learning, Software Engineering, Pytorch, Deep Learning, Software Version Control, Software Library
- **Published:** October 15, 2026
- **Apply:** https://jobs.inria.fr/public/classic/en/offres/2026-10601

## About the Role

* 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

## Description

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.