Job Description
Join NeuroQuantum Labs at the forefront of 2026's technological revolution. We're pioneering the convergence of artificial intelligence and quantum computing to solve humanity's most complex challenges. As an AI Research Scientist, you'll architect next-gen algorithms that push the boundaries of machine learning, working in a state-of-the-art facility with world-class collaborators. Our mission: to create autonomous quantum neural networks capable of breakthrough discoveries in medicine, climate modeling, and materials science.
We offer a competitive compensation package, flexible work arrangements, and dedicated R&D resources. If you're passionate about shaping the future of AI and quantum systems, this is your opportunity to make history.
Responsibilities
- Design and implement novel quantum machine learning algorithms for high-dimensional data processing
- Lead research projects in quantum neural networks and hybrid quantum-classical systems
- Develop scalable AI frameworks optimized for quantum hardware acceleration
- Collaborate with cross-functional teams to translate research into practical applications
- Publish breakthrough findings in top-tier journals and conferences
- Secure patents and intellectual property for proprietary quantum AI methodologies
- Mentor junior researchers and contribute to lab's technical roadmap
Qualifications
- PhD in Computer Science, Quantum Physics, or related field with 3+ years research experience
- Expertise in quantum computing frameworks (Qiskit, Cirq, or PennyLane)
- Proven track record in developing advanced ML models (transformers, GANs, reinforcement learning)
- Strong mathematical foundations in linear algebra, probability, and quantum mechanics
- Proficiency in Python with libraries like TensorFlow, PyTorch, and NumPy
- Experience with high-performance computing and distributed systems
- Publication record in AI/quantum computing conferences (NeurIPS, QIP, etc.)
- Ability to work independently and drive complex research initiatives