AI Scientist for Quantum Computing

1000scholars; Massy; On-site; EUR 85,000 - 120,000; Full time

Job summary

Quandela in Massy, near Paris, is seeking an AI Scientist to join the AI and Quantum Machine Learning team. You will develop and evaluate machine-learning approaches for quantum computing, including calibration, control, and error-correction decoding.

You will work on quantum and hybrid machine learning, benchmark methods against classical baselines, contribute to the MerLin framework, and collaborate with academic partners.

Qualifications

• 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 in Python and common ML frameworks.
• Experience taking research ideas from initial exploration to robust implementation.

Responsibilities

• Design, implement and train machine-learning and quantum machine-learning models.
• Develop AI methods to improve calibration, control and performance of quantum systems.
• Benchmark classical, quantum and hybrid methods using meaningful baselines and evaluation metrics.
• Contribute to the MerLin framework development.
• Contribute to publications and collaborations with academic partners and the research ecosystem.
• Present your work internally and at scientific conferences and events.
• Help define Quandela’s future AI research directions and mentor junior researchers as the team grows.

Skills

Machine learning fundamentals

Experimentation

Scientific programming

English communication

Education

PhD or equivalent ML R&D

Tools

Python

ML frameworks (PyTorch, TensorFlow)

Job description

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:

• 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.