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# Machine Learning Engineer

- **Company:** Quantum Machines
- **Location:** Delft, Netherlands
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Code Review, Python (Programming Language), Machine Learning, Quantum Computing, Azure Machine Learning, Software Engineering, Reinforcement Learning, Deep Learning, Agentic-AI, Git Flow, Codebase
- **Published:** October 6, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=22158473c38fa654

## About the Role

* PhD/Master in Machine Learning, Physics, Applied Physics, Quantum Information Science, or a related field. 4+ years of relevant experience
 * Strong background in Machine Learning and Deep Learning, with hands-on experience in at least one of: deep learning, reinforcement learning, agentic AI
 * Strong Python proficiency, including scientific or systems-oriented codebases
 * Solid software engineering fundamentals (architecture, Git workflows, testing, code review)
 * Proven track record of taking ML from prototype to deployment under real-world constraints - non-stationary data, expensive evaluations, or safety-critical action spaces. Robotics, online control, autonomous vehicles, or hardware-in-the-loop ML all transfer well
 * Strong problem-solving skills and customer-focused mindset; ability to work independently and in multidisciplinary teams
 * Proven software development track record and excellent technical communication skills
 * Familiarity with quantum computing concepts - qubit calibration, randomized benchmarking, QEC, optimal control- advantage
 * Experience with sim-to-real, multi-objective RL, or meta-learning- advantage

## Description

* Develop reinforcement learning, Bayesian inference, and probabilistic modelling approaches for parameter tuning, drift tracking, and adaptive measurement, to be deployed on real hardware.
 * Develop real-time parameter steering for calibration during QEC and between circuits.
 * Develop and maintain agentic frameworks for autonomous system control and calibration.
 * Develop and maintain Python-based ML services and libraries that integrate with the wider Quantum Machines control stack, including QUA, Qualibrate, and the OPX1000.
 * Work directly with customers and partner labs to deploy, validate, and iterate on ML solutions in real experimental environments.
 * Collaborate cross-functionally with product, R&D, and hardware teams, contributing to internal libraries, customer-facing SDKs, and training materials.