Machine Learning Engineer

inria; France; Hybrid; EUR 42,000 - 62,000; Full time

Benefits offered by this job

Partial reimbursement of public travel

Teleworking possible

7 weeks annual leave + RTT days

Professional equipment available

Job summary

Inria, the French national research institute for the digital sciences, is seeking a Machine Learning Engineer to design and develop a Python software library for evaluating generalization bounds in deep learning. The role sits within ERC Starting Grant DYNASTY and may involve conference travel.

You will bridge theory and practice by building a modular, efficient framework and performing empirical verification.

Qualifications

• 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.

Responsibilities

• Design and develop a Python software library for evaluating generalization bounds in deep learning.
• Bridge theoretical learning theory and practical deep learning through a modular framework.
• Conduct experiments for empirical verification.
• Write scientific articles and disseminate work at venues.
• Collaborate with researchers and translate math into reliable software.

Skills

Python programming

PyTorch

Machine learning

Deep learning

Research collaboration

Tools

Git

Scientific software development

Job description

Inria, the French national research institute for the digital sciences

Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Mathematics Researcher Profile First Stage Researcher (R1) Application Deadline 13 Nov 2026 - 00:00 (UTC) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 38.5 Offer Starting Date 1 Dec 2026 Is the job funded through the EU Research Framework Programme? Horizon 2020 Reference Number 2026-10601 Is the Job related to staff position within a Research Infrastructure? No

Offer 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

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 Level Basic

Languages ENGLISH Level Good

Additional Information

• 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