AI Scientist for Quantum Computing

AI Scientist for Quantum Computing

Quandela

Massy, France

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.

• PhD + 3 years of experience or equivalent industrial R&D experience in machine learning.
• Strong foundations in modern machine learning, experimental methodology and model evaluation.
• Excellent scientific programming skills, particularly in Python and common machine-learning frameworks.
• Experience taking research ideas from initial exploration to robust implementation.
• Interest in working on both longer term research and concrete product problems.
• Strong communication skills and the ability to work autonomously within a focused, multidisciplinary team.
• Professional fluency in English.

Bonus Points:

• Previous experience applying AI to physical systems, scientific computing, hardware control or experimental data.
• Knowledge of quantum computing, quantum machine learning or photonic quantum technologies.
• Experience mentoring junior researchers or helping define technical research directions.