Quantum Solutions Engineer - Scientific Machine Learning M/W

Pasqal • Chicago, IL

4d • Hybrid

About The Position

PASQAL is seeking a Quantum Solutions Engineer to join their Quantum Applications department. This role focuses on building client-facing solutions using PASQAL’s quantum algorithm portfolio, with an emphasis on adapting, integrating, and validating quantum and quantum-enhanced machine learning methods for real-world partner and client use-cases, particularly in molecular and chemical applications. The goal is to transform PASQAL’s existing methods into reliable client deliverables by combining scientific machine learning, Graph Machine Learning, and analog quantum computing. Contributions to internal method improvement are encouraged when they directly support project outcomes. The role involves working at the intersection of graph machine learning, quantum algorithms, and industrial use cases, requiring strong engineering skills and an interest in quantum computing.

Requirements

• Master’s degree or PhD in Machine Learning, Computational Chemistry or Quantum Physics
• 2+ years of experience in a similar role
• Strong ML engineering background, including model training and evaluation, classical baselines, metrics, and reproducible experimentation.
• Hands-on experience with graph-structured data and Graph Machine Learning, such as graph kernels, Graph Neural Networks, or graph representations.
• Familiarity with quantum computing or quantum mechanics concepts and constraints, including the differences between classical simulation, emulation, and hardware execution.
• Working knowledge of fundamental chemistry concepts and familiarity with molecular representations such as descriptors, fingerprints, molecular graphs, or SMILES.
• Strong interest in applying quantum computing to practical machine learning and scientific problems.
• Experience working with molecular, chemical, materials, or other scientific data.
• Ability to build end-to-end ML pipelines (pre/post-processing, integration with existing tools/platforms).
• Delivery mindset and ownership (client-facing deliverables, pragmatism, trade-offs).
• Strong communication and collaboration with internal R&D, hardware, and platform teams.

Nice To Haves

• Physics background (quantum/atomic/optics) is a plus.
• Right to work in USA without sponsorship is preferred.

Responsibilities

• Adapt and implement PASQAL’s existing quantum and quantum-enhanced Graph ML algorithms for client datasets, scientific constraints, and performance targets.
• Translate scientific and chemical use cases into well-defined machine learning tasks, such as molecular property prediction, classification, ranking, or candidate screening.
• Select and implement suitable representations for molecules and chemical systems, including physicochemical descriptors, fingerprints, molecular graphs, and quantum feature representations.
• Integrate ML pipelines with quantum execution workflows, emulation and simulation platforms, PASQAL QPUs, and internal tooling.
• Collaborate closely with internal R&D teams to transfer quantum methods from research to application, clarify their assumptions and limitations, and select the most appropriate approach from PASQAL’s portfolio.
• Work closely with chemistry experts from clients and partners to understand the scientific meaning, quality, and limitations of molecular and experimental data.
• Produce maintainable code, technical documentation, benchmark reports, and handover material so delivered solutions can be reproduced, reused, and supported.
• Maintain an active scientific and technological watch in Quantum Machine Learning, Graph Machine Learning, and molecular machine learning.

Benefits

• Flexible schedules to support work/life balance
• A dynamic, close-knit, collaborative, and diverse international team for co-workers
• An impactful role in a growing scale-up that is leading in the Neutral Atom Quantum Computing space
• Competitive benefit packages
• Lots of time off to enjoy the things you love outside of work
• Free time to learn and attend conferences/meetups

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level