Applied Machine Learning Engineer (Quantum Technologies)

Location: Munich, Germany or St Gallen, Switzerland; flexible working arrangements with remote work or office-based work available. Applicants must have the legal right to live and work in the European Union or Switzerland. Visa sponsorship is not available.

Company

hirify.global develops quantum-as-a-service solutions combining quantum computing with classical high-performance computing for machine learning, optimisation, simulation, security, and industrial applications.

What you will do

• Build and deliver end-to-end machine learning solutions for industrial clients.
• Design ML pipelines for time series forecasting, routing and planning, generative AI, NLP, computer vision, and predictive modelling.
• Select and apply classical methods including gradient-boosted trees, random forests, deep neural networks, kernel methods, and classical optimisers.
• Develop feature representations and training strategies for hybrid classical-quantum models, including quantum-aware encodings.
• Improve data quality, leakage protection, cross-validation, baselines, statistical testing, and training stability.
• Contribute to internal ML libraries and SDKs, translate quantum algorithms into testable implementations, and evaluate the practical value of quantum layers.

Requirements

• Master’s degree in computer science, applied mathematics, data science, statistics, engineering, physics, or an equivalent field.
• Hands-on classical machine learning experience from coursework, an internship, research project, or junior role.
• Strong Python skills and experience with NumPy, pandas, scikit-learn, and at least one of PyTorch or TensorFlow.
• Knowledge of tree-based methods, gradient boosting, random forests, kernel methods, and rigorous experiment design.
• Software engineering fundamentals including Git, testing, reproducible environments, and configuration-driven experiments.
• Legal right to live and work in the European Union or Switzerland; English proficiency required; visa sponsorship unavailable.

Nice to have

• Experience with PennyLane, Qiskit, or Cirq.
• Familiarity with time series forecasting, NLP, computer vision, or industrial optimisation.
• Curiosity about quantum computing and hybrid quantum-classical machine learning.

Culture & Benefits

• Remote work or access to office spaces with flexible working arrangements.
• Opportunity to work with quantum technology experts and an experienced leadership team.
• Personal development plan with clear advancement goals.
• Competitive salary and a diverse, supportive environment focused on trust, excellence, and continuous improvement.