Job Description
Join our pioneering team at NexaLabs AI to redefine the future of computational intelligence. As a Quantum Machine Learning Engineer, you'll architect cutting-edge solutions that bridge quantum computing with AI/ML frameworks. Collaborate with world-class researchers to develop hybrid quantum-classical algorithms for real-world applications in drug discovery, climate modeling, and autonomous systems. You'll work in a state-of-the-art lab with access to quantum hardware and GPU clusters, publishing breakthrough research in top-tier conferences.
Responsibilities
- Design and implement quantum algorithms for machine learning optimization
- Develop hybrid quantum-classical neural network architectures
- Optimize quantum circuits for practical ML workloads on quantum hardware
- Collaborate with cross-functional teams to deploy quantum-enhanced AI solutions
- Research and mitigate quantum decoherence effects in ML models
- Lead open-source contributions to quantum ML frameworks
- Mentor junior engineers in quantum computing principles
Qualifications
- PhD or MS in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of experience in machine learning and quantum algorithms
- Proficiency in quantum programming languages (Qiskit, Cirq, Q#)
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Strong background in linear algebra, quantum mechanics, and statistical modeling
- Publication record in quantum computing or ML conferences
- Experience with cloud quantum platforms (IBM Quantum, Amazon Braket)