AI Scientist for Quantum Computing at Quandela (Massy, France)
Job Description
Quandela is hiring an AI Scientist into its AI and Quantum Machine Learning team in Massy, to use machine learning on two fronts: making photonic quantum hardware work better, and testing whether quantum and hybrid models can beat strong classical ones.
At a glance
- Position: AI Scientist for Quantum Computing
- Where: Massy, Paris-Saclay, France
- Pay: Quandela states a competitive salary, flexible according to experience, with profit-sharing, a savings plan, full health cover, meal vouchers, transport reimbursement and childcare support
- Type: Full time, permanent
- Apply by: open until filled; re-check before applying
- Apply: open until filled (re-checked 16 October 2026)
About the AI scientist role at Quandela
- Design, implement and train machine-learning and quantum machine-learning models
- Develop AI methods that improve the calibration, control and performance of quantum systems, including decoding for quantum error correction
- Benchmark classical, quantum and hybrid methods against meaningful baselines and evaluation metrics
- Contribute to MerLin, Quandela’s framework for quantum machine learning
- Publish, collaborate with academic partners and present at scientific conferences
- Help define Quandela’s future AI research directions and mentor junior researchers as the team grows
The posting is explicit that the role is primarily about applying state-of-the-art classical machine learning to problems in quantum computing, with quantum and hybrid models as the second strand. It also says the Massy team is central to Quandela’s AI work, so the post carries real ownership as the team grows. The posting does not give a closing date, so the role stays listed until it is filled. Re-check the official posting before you apply.
What Quandela is looking for
- A PhD plus about three 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, particularly Python and the common machine-learning frameworks
- Experience taking a research idea from first exploration to a robust implementation
- Interest in both longer-term research and concrete product problems
- Professional fluency in English
Nice to have
- 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 setting technical research directions
Pay and location
Quandela states a competitive salary, flexible according to experience, with profit-sharing, a savings plan, full health cover, meal vouchers, transport reimbursement and childcare support
How to apply
Apply through the official Quandela job posting. Quandela’s posting does not give a closing date, so the role is open until filled; ResearchJobs.in will re-check this listing on 16 October 2026. Check the posting for location and work-authorisation details before you apply.
See all our quantum technology jobs, or browse more research jobs on ResearchJobs.in.
Hiring institution: Quandela
Official advertisement: apply.workable.com
How to prepare for this application
- Lead with the classical AI: this role is mostly AI applied to quantum systems, so put your machine-learning depth first.
- Pick a physical system: describe a time you improved a real instrument or experiment with a model, and what the baseline was.
- Decoders: read up on neural decoders for error correction; they are named directly in the advertisement.
- Look at MerLin: Quandela's quantum machine-learning framework is public, so arrive having tried it.
- Be ready to benchmark: the posting stresses rigorous comparison with classical methods, so expect to defend your evaluation design.
About Quandela
Quandela is a French deeptech company building photonic quantum computers, using semiconductor quantum dots as bright single-photon sources and photonic processors to run computations with light. Its own description puts the team at more than 140 people covering the full stack, from the emitters and chips through control electronics to software and applications, with machines reachable over the cloud and installed on customer sites.
