Quantum Machine Learning Engineer

About the Position
QNeuron Analytics is seeking a Quantum Machine Learning Engineer to develop advanced machine learning models enhanced by quantum computing methods. This role focuses specifically on the growing field of Quantum Machine Learning (QML), where AI and quantum computing intersect to solve complex computational challenges.

You will collaborate with data scientists, quantum researchers, and software engineers to explore hybrid quantum-classical systems for next-generation predictive technologies.

Key Responsibilities
• Develop and optimize hybrid quantum-classical machine learning models
• Design experiments using quantum computing frameworks
• Build predictive models utilizing quantum-enhanced algorithms
• Research applications of QML in healthcare, finance, and logistics
• Analyze model performance and improve computational efficiency
• Document technical findings and present results to stakeholders

Required Qualifications
• Bachelor’s, Master’s, or PhD in Computer Science, Physics, Mathematics, Artificial Intelligence, or related field
• Strong understanding of machine learning concepts and data modeling
• Experience with Python and ML frameworks (TensorFlow, PyTorch)
• Familiarity with quantum libraries such as Qiskit, PennyLane, or Cirq
• Knowledge of linear algebra and probability theory

Preferred Skills
• Experience with cloud quantum platforms
• Background in optimization algorithms
• Research experience in AI or quantum systems

Benefits
✓ Comprehensive Medical Coverage
✓ 401(k) Matching Program
✓ Annual Research & Innovation Bonus
✓ Conference Travel Sponsorship
✓ Continuing Education Assistance
✓ Wellness and Mental Health Program

Shape the future where artificial intelligence meets quantum computing.