Senior Quantum Solutions Engineer - ML

Entangled Future; Thuwal; Hybrid; SAR 300.000 - 520.000; Vollzeit

Benefits dieser Stelle

Permanent contract

International team

Conferences/meetups training

Zusammenfassung

Pasqal is seeking a Senior Machine Learning Engineer to join the Quantum Applications department delivery team in Saudi Arabia. The role focuses on adapting, integrating, and deploying existing quantum ML methods to client datasets and real-world use cases, turning research into reliable deliverables.

You will build robust ML pipelines, collaborate with R&D and hardware teams, and ensure solutions meet performance targets while keeping up with the latest scientific advancements in the field.

Qualifikationen

• 5+ years of professional ML experience; interest in quantum computing is a plus.
• Experience adapting and deploying quantum ML algorithms to real-world datasets.
• Collaborate with R&D, hardware teams, and domain experts to deliver client solutions.

Aufgaben

• Adapt and implement Pasqal’s quantum(-enhanced) graph ML algorithms for client datasets and targets.
• Build and maintain robust ML pipelines including data ingestion, preprocessing, training, evaluation, and post-processing.
• Run solutions on Pasqal QPUs considering hardware and execution constraints.
• Collaborate with domain experts to deliver solutions on real-world business problems.
• Produce maintainable code and documentation for reuse and handover.
• Keep regular scientific/technological watch.

Kenntnisse

Graph ML

ML pipelines

Python

Jobbeschreibung

We are looking for a candidate to join our Quantum Applications department delivery team to build and deliver client-facing solutions based on Pasqal’s quantum ML algorithm portfolio . his is an application-driven engineering role focused on adapting, integrating, and deploying existing approaches to real-world partner and client use cases. The goal is to turn existing methods into reliable client deliverables; contributions to internal method improvement are welcome when they directly support project outcomes.

As a Senior machine learning engineer with around 5 years of professional experience at least with interest in quantum computing (physics background is a plus, not a requirement), you will:

• Adapt and implement Pasqal’s existing 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 , emulation/simulation platforms, and internal tooling.
• Establish baselines, metrics, and acceptance criteria with stakeholders, and drive solution iterations until delivery requirements are met.
• Collaborate closely with internal R&D teams to transfer methods from research to application, clarify assumptions/limits, and select the best approach from the portfolio for each use case.
• Work with hardware and platform engineers to run solutions on Pasqal QPUs, taking into account hardware constraints, execution constraints, and reliability.
• Work closely with domain experts from high profile enterprises and partners to deliver solutions on real-world business problems
• Produce maintainable code, documentation, and handover material so delivered solutions can be reused and supported.
• Keeping a regular scientific and technological watch.

Pay and benefits

• Type of contract : Permanent contract
• A dynamic and close-knit international team
• A key role in a growing start-up
• Free time to train and go to conferences/meetups

Pasqal builds quantum computers out of single atoms held in laser light, and you can try them from its cloud, free on emulators, or have one installed on site, as CEA, CINECA, Aramco and DistriQ already do.

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