R&D Intern - Fairness in Deep Learning - Paris
About this role
This research internship suits a master's student in applied mathematics, statistics, or machine learning seeking a 4 to 6-month placement starting in winter 2026-2027. The position is based at the Artefact research center in the 9th arrondissement of Paris, France, focusing on fairness and continuous sensitive variables in neural networks.
Role Overview
Artefact is offering a master's research internship focused on studying neural networks within a framework that guarantees the independence of predictions relative to continuous sensitive variables like age, income, or skin color. The selected intern will spend 4 to 6 months at the company's Paris research center exploring ways to reduce algorithmic bias without relying on arbitrary discretization thresholds. The project bridges theoretical fairness concepts with practical implementation using open-source machine learning libraries.
Key Responsibilities
Requirements
Skills and Tools
About the Company
Artefact is an international data services company specializing in data transformation consulting. The organization connects data and business to help clients achieve business goals across their value chain. With 2,500 employees globally, the company combines multidisciplinary skills to drive business innovation through artificial intelligence and agile methodologies, managing client projects from conception and deployment to training and change management.
How to Apply
Interested candidates should apply on the official company careers page.
Skills and tech stack
Questions candidates ask
What is the duration and start date of the internship?
The internship lasts between 4 to 6 months and begins in winter 2026-2027.
Where is the position located?
The role is located at the Artefact research center in the 9th arrondissement of Paris, 75009, Paris, France.
What educational background is required?
Candidates must be at the BAC+4 or BAC+5 level studying applied mathematics, statistics, or machine learning at a university or engineering school.
What is the primary research focus of the internship?
The intern will study fairness in neural networks by exploring bias reduction methods related to continuous sensitive variables like age, income, and skin color.
What tools and libraries will be used during the project?
The intern will use open-source libraries such as PyTorch and scikit-learn.
The application is on the official LinkedIn Job Wrapping careers page.
Apply on company site