R&D Intern - Fairness in Deep Learning - Paris

This position is a four to six month master’s research internship based at the company’s Paris research center in the 9th arrondissement. The primary focus involves investigating neural networks to ensure predictions remain independent of continuous sensitive variables, such as age, income, or skin color. The work addresses the challenge of models encoding and amplifying biases present in training data, a field known as fairness that is currently gaining momentum due to evolving regulations like the European AI Act. The specific research directions will be adjusted throughout the duration of the placement. The role is designed for students pursuing a master’s degree, with the start date scheduled for the winter of 2026-2027. The employer is an international data services firm with approximately 2,500 employees that specializes in data transformation consulting and artificial intelligence solutions. The company bridges the gap between data and business objectives, offering services that range from AI project design and deployment to training and change management. The text does not specify particular technical skills, tools, or programming languages required for the candidate. There is no mention of specific language requirements beyond the French context of the location. The working arrangement is implied to be on-site at the Paris research center, as no remote or hybrid options are described. This opportunity suits master’s students interested in the ethical and technical aspects of machine learning fairness.