Senior Quantum ML Engineer — Client Solutions

Pasqal; Thuwal; Sur place; SAR 480 000 - 720 000; Plein temps

Avantages offerts par ce poste

Permanent contract

Dynamic international team

Key role in growing startup

Time for training and conferences

Résumé du poste

Pasqal in Saudi Arabia is seeking a Senior ML Engineer to join the Quantum Applications department and deliver client-facing solutions based on Pasqal’s quantum ML portfolio.

You will adapt existing methods to real-world datasets, build robust ML pipelines, and integrate with quantum execution workflows, emulation platforms, and internal tooling. Collaboration with R&D and hardware teams is essential.

Qualifications

• Around 5 years of ML experience with interest in quantum computing.
• Physics background is a plus, not required.
• Experience adapting/ deploying ML methods to real-world use cases.

Responsabilités

• Adapt and implement Pasqal’s quantum(-enhanced) graph ML algorithms to fit client datasets, constraints, and performance targets.
• Build and maintain robust ML pipelines (data ingestion, preprocessing, training, evaluation, post-processing), including integration with quantum execution workflows and emulation platforms.
• Establish baselines, metrics, and acceptance criteria with stakeholders, and drive iterations until delivery requirements are met.
• Collaborate with internal R&D teams to transfer methods from research to application and select approaches for each use case.
• Work with hardware and platform engineers to run solutions on Pasqal QPUs, considering hardware constraints and reliability.
• Deliver solutions to real-world business problems with maintainable code and documentation.
• Keep a regular scientific and technological watch.

Connaissances

Graph ML

ML engineering

Data pipelines

Collaboration

Outils

Pasqal QPUs

Simulation platforms

Internal tooling

Description du poste

Pasqal in Saudi Arabia is seeking a Senior ML Engineer to join the Quantum Applications department and deliver client-facing solutions based on Pasqal’s quantum ML portfolio.

You will adapt existing methods to real-world datasets, build robust ML pipelines, and integrate with quantum execution workflows, emulation platforms, and internal tooling. Collaboration with R&D and hardware teams is essential.