AI scientist for Quantum Computing (Massy)

About this role

About Quandela: Quandela is a European deeptech company building modular, scalable and energy-efficient spin-photonic quantum computers. We develop the full quantum computing stack, from semiconductor quantum emitters and photonic processors to control systems, software and applications. Our platforms are available through the cloud and as on-premises systems. Our ambition is to build fault-tolerant quantum computers capable of solving problems beyond the reach of classical computation.

The role: We are looking for an AI Scientist to join Quandela’s AI and Quantum Machine Learning team in Massy (near Paris) You will develop and evaluate machine-learning approaches for quantum computing, covering both: AI for quantum systems , including calibration, control, decoding for quantum error correction; quantum and hybrid machine learning , including rigorous comparisons with state-of-the-art classical methods, using MerLin, Quandela's framework for quantum machine learning.

You will work on research with colleagues across AI, quantum algorithms, software, product and hardware. The Massy team is a central part of Quandela’s AI activities. This role therefore offers significant ownership and the opportunity to help shape and grow the team over time. What You'll Do: Design, implement and train machine-learning and quantum machine-learning models. Develop AI methods to improve the calibration, control and performance of quantum systems.

Benchmark classical, quantum and hybrid methods using meaningful baselines and evaluation metrics. Contribute actively to the development of the MerLin framework. Contribute to publications and collaborations with academic partners, including research ecosystem. Present your work internally and at scientific conferences and technical events. Help define Quandela’s future AI research directions and mentor junior researchers as the team grows.

Requirements What we are looking for: We are looking for an AI scientist, or an experienced industry practitioner with an equivalent background, who is eager to apply state-of-the-art classical machine-learning methods to scientific and engineering challenges in quantum computing. The role is primarily focused on using AI to improve quantum technologies, while also providing opportunities to develop and investigate quantum and hybrid machine-learning models.