Job Description
Join QuantumLeap Labs at the forefront of technological innovation as we pioneer breakthroughs in quantum-computing-integrated AI systems. Our multidisciplinary team is developing next-generation algorithms that will redefine industries by 2026. This role offers unparalleled opportunities to shape the future of artificial intelligence while working in a collaborative, cutting-edge environment.
We're seeking visionary researchers passionate about solving complex problems in machine learning, quantum computing, and neural network optimization. The ideal candidate will contribute to groundbreaking projects with real-world applications in healthcare, climate modeling, and autonomous systems.
Responsibilities
- Design and implement novel AI architectures leveraging quantum computing principles
- Lead research initiatives in quantum machine learning algorithms and optimization techniques
- Collaborate with cross-functional teams to prototype and deploy AI solutions
- Publish research in top-tier conferences and journals (NeurIPS, ICML, Nature)
- Drive innovation in quantum neural networks and hybrid quantum-classical systems
- Mentor junior researchers and contribute to technical documentation
Qualifications
- PhD in Computer Science, Physics, or related field with 5+ years of AI research experience
- Expertise in quantum computing frameworks (Qiskit, Cirq) and quantum algorithms
- Proficiency in deep learning frameworks (PyTorch, TensorFlow) and distributed computing
- Strong publication record in top-tier AI/quantum journals
- Experience with large-scale experimental design and statistical analysis
- Fluency in Python, C++, and high-performance computing environments
- Demonstrated ability to translate theoretical research into practical applications