Pasqal · Science
Senior Quantum Solutions Engineer - ML
- Thuwal
- Full-time
AI roleMachine LearningTrains models
Still open on Pasqal's site · checked 5 hours ago
- Level
- Senior
- Posted
Senior Quantum Solutions Engineer - ML
Pasqal
What you'll do
As written by Pasqal · Read the original
Job Description
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.
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.
Skills
Working languages
English
Salary & benefits
What we offer
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
Company
Last checked . The details above were extracted automatically; the employer's original posting is the authority.
