Job Description
Shape the future of artificial intelligence at Nexus Future Labs. We're pioneering quantum-enhanced machine learning systems that will revolutionize industries by 2026. As a Quantum Machine Learning Engineer, you'll develop hybrid quantum-classical algorithms to solve problems currently deemed unsolvable. Join our elite team of researchers and engineers pushing the boundaries of computational intelligence.
Responsibilities
- Design and implement quantum neural network architectures
- Develop hybrid quantum-classical ML pipelines for real-world applications
- Optimize quantum algorithms for near-term hardware constraints
- Collaborate with physicists to translate quantum phenomena into ML frameworks
- Create simulation environments for quantum ML validation
- Lead open-source contributions to quantum ML libraries
- Translate research breakthroughs into patentable innovations
Qualifications
- PhD in Computer Science, Physics, or related field (MS + 3 years experience)
- Expertise in quantum computing fundamentals (Qiskit, Cirq, or Q#)
- Advanced proficiency in Python and ML frameworks (PyTorch/TensorFlow)
- Experience with quantum error mitigation techniques
- Published research in quantum machine learning
- Familiarity with NISQ-era hardware limitations
- Strong background in linear algebra and probability theory