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Data/ML Engineer (Hybrid Quantum Pipelines)
You’ll build pipelines that make experiments reproducible and reviewable.
You’ll keep operational burden low and clarity high.
The Role
Build data and ML pipelines that support hybrid workflows—clean baselines, reproducible runs, and practical integrations.
Responsibilities
- Build dataset and feature pipelines for evaluations.
- Implement reproducible experiment tracking and reporting.
- Partner with engineers/researchers on integration needs.
Requirements
- Strong data engineering or ML engineering fundamentals.
- Comfort building reliable pipelines and instrumentation.
About QuPracs
We work in domains where hype is loud and uncertainty is real. Our job is to help teams make responsible decisions—and to prototype only when it teaches something measurable.