Senior Quantum ML Engineer — Graph Algorithms Lead

Nabla

Massy

Sur place

EUR 90 000 - 130 000

Plein temps

14 jours+

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Résumé du poste

Pasqal is seeking a senior candidate for the Quantum Graph Machine Learning (QGML) team to design and drive quantum-enhanced ML methods, from research to deployment on Pasqal hardware. You will blend physics, math, and computer science with hands-on ML engineering and take ownership of technical directions.

We are a small, collaborative team, focused on internal research and collaboration with external partners, turning strong ideas into reusable algorithmic assets for client-facing projects.

Qualifications

  • Minimum 5+ years in applied research, quantum algorithms, or ML engineering.
  • Strong foundation in applied mathematics, graphs, and ML.
  • Proficient in Python; ability to write clear technical reports.

Responsabilités

  • Research, technology watch and innovation to inform roadmap.
  • Lead design and implementation of quantum-enhanced ML models on classical hardware and Pasqal QPU.
  • Own ML pipeline components: data preprocessing, post-processing, and integration with quantum hardware/simulations.
  • Collaborate with hardware engineers and pass on technical leadership; mentor junior team members.

Connaissances

Python
Applied Mathematics
Graph Theory
Machine Learning
Quantum Physics

Formation

PhD in a relevant field

Description du poste

Pasqal is seeking a senior candidate for the Quantum Graph Machine Learning (QGML) team to design and drive quantum-enhanced ML methods, from research to deployment on Pasqal hardware. You will blend physics, math, and computer science with hands-on ML engineering and take ownership of technical directions.

We are a small, collaborative team, focused on internal research and collaboration with external partners, turning strong ideas into reusable algorithmic assets for client-facing projects.

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