Quantum Machine Learning Software Internship, Quandela
MerLin, 2026
Internship Allowance between €1,200 and €1,400 per month
Office located in Massy, Paris
Quantum computing solutions
Be an early applicant
Quantum computing solutions
101-200 employees
Be an early applicant
Internship Allowance between €1,200 and €1,400 per month
Office located in Massy, Paris
101-200 employees
Company mission
To deliver the first useful quantum computer to drive the quantum transformation to industry and society.
Role
Who you are
- Master 1 or Master 2 student, engineering school student, or equivalent, with a strong background in machine learning, software engineering, applied mathematics, or computer science. This position is only valid with an Internship Agreement
- Solid Python skills and practical experience with scientific computing and machine learning tools such as NumPy, PyTorch, Jupyter, and Git
- Good understanding of machine learning workflows, including model implementation, training loops, datasets, evaluation, and reproducible experiments
- Interest in quantum computing, photonics, or quantum machine learning is appreciated, but prior quantum expertise is not required
- Ability to read technical papers, translate algorithms into maintainable code, and clearly document experimental assumptions and limitations
- Careful engineering habits: tests, reproducible experiments, readable code, and comfort working through pull requests
- Benefits
What the job involves
- MerLin is a photonic quantum machine learning framework that brings quantum computing capabilities to AI practitioners through familiar PyTorch integrations
- The internship will contribute to the development and scientific validation of MerLin by either reproducing recent quantum machine learning papers with the framework, or by improving the core codebase directly
- Depending on the candidate profile and project priorities, the work may include implementing research models, building clean examples and benchmarks, extending model APIs, improving tests and documentation, or contributing to performance and usability improvement
- The goal is to produce concrete, reviewable contributions that strengthen MerLin as a research and engineering tool
- Reproduce selected quantum machine learning papers using MerLin, with clear notebooks, benchmarks, and documented assumptions
- Implement or improve quantum-classical model components in Python, PyTorch, and the MerLin codebase
- Compare reproduced results against published baselines and identify gaps due to simulation choices, datasets, or implementation details
- Add tests, examples, and documentation so new features are maintainable and usable by researchers and ML practitioners
- Contribute to code reviews, issue analysis, experiment tracking, and technical reports summarizing results
- What you will learn:
- How to connect research papers to production-quality scientific software
- How photonic quantum circuits can be integrated into PyTorch-style machine learning workflows
- How to design experiments, benchmarks, and tests for hybrid quantum-classical models
- How to contribute to an open-source-style Python project with reviews and continuous integration
Our take
As quantum computing shifts from the realm of theory to that of reality, Quandela is here to facilitate its accelerated uptake. The company supplies access to Quantum Processing Units via the "Quandela Cloud", and is also developing photonic quantum computers to sell to industrial customers.
Through its cloud gateway, users can submit jobs to Quandela's quantum computers and monitor them from an online interface, helping to make quantum computing more widely accessible. The company also runs a computing platform called MosaiQ, through which new quantum computing algorithms and protocols can be prototyped, developed, and implemented.
Having already made strides in the sector, Quandela's latest focus is the delivery of its commercial quantum computers, the first of which was bought and hosted by cloud provider OVHcloud in an industry-first transaction. Funding will support the expansion of this side of the business and otherwise support the company's as-yet-confidential roadmap.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 5 rounds)
Sep 2025
$1.7m
GRANT
Nov 2023
$57.5m
SERIES B
Total funding: $79m
Company HQ
Quartier Atlantis, Massy, France
Leadership
Niccolo Somaschi
(Co-Founder & CEO)Earned a PhD from the University of Southampton, then went on to be a Postdoctoral Research Fellow at CNRS, working with solid-state quantum light sources.
Valerian Giesz
(Co-Founder & COO)Former CEO of the company. Co-founded non-profit La French Tech Paris-Saclay, at which they are now a Board Member. Earned a PhD in Nanotechnology from Université Paris-Saclay.
Prof. Pascale Senellart
(Co-Founder & CSO)Director of Research at the Centre for Nanosciences and Nanotechnologies at CNRS. Lectures in Advanced Quantum Mechanics at École Polytechnique.
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