Quantum Machine Learning Engineer
Core
Designing and evaluating quantum and hybrid machine learning models for complex time-series analysis and optimization problems.
Role type
Quantum Machine Learning Research Engineer
Builds
Production quantum/hybrid ML models for time-series analysis and optimization
Domain
Quantum computing and machine learning applied to aerospace, defense, and fintech
Deliverable
production ML models
Required skills
Quantum machine learning, hybrid classical-quantum methods, time-series analysis, optimization algorithms, Python, PyTorch, Qiskit, PennyLane, deep learning, data preprocessing
Preferred skills
Quantum-inspired methods, advanced quantum computing fundamentals
Technologies
Qiskit, PennyLane, PyTorch
Responsibilities
Design, develop, and evaluate quantum and quantum-inspired ML models; Prepare, process, and generate real and synthetic datasets; Implement classical, quantum, and hybrid models; Configure training strategies and optimize hyperparameters; Participate in applied research and technology transfer; Collaborate with multidisciplinary teams
Seniority
Mid-level, hands-on IC
