Job Description
Join QuantumLeap Labs at the forefront of 2026's AI revolution! We're seeking visionary AI Research Scientists to pioneer breakthroughs in quantum machine learning and neural architecture optimization. Work in our state-of-the-art facility in San Francisco, collaborating with Nobel laureates and industry disruptors to shape the future of artificial intelligence. Your research will directly impact autonomous systems, personalized medicine, and sustainable energy solutions. We offer unparalleled resources, competitive equity packages, and a culture that celebrates bold innovation.
Responsibilities
- Lead cutting-edge research in quantum-enhanced neural networks and generative AI models
- Develop novel algorithms for unsupervised learning and real-time data processing
- Collaborate with hardware teams to optimize AI-quantum computing integration
- Publish breakthrough research in top-tier journals and conferences
- Mentor junior researchers and drive cross-functional innovation projects
- Translate theoretical models into scalable production-ready solutions
Qualifications
- PhD in Computer Science, Quantum Physics, or related field with 3+ years of research experience
- Expertise in quantum computing frameworks (Qiskit, Cirq) and deep learning architectures
- Proven track record of publishing in Nature/Science or NeurIPS/ICML
- Proficiency in Python, TensorFlow/PyTorch, and high-performance computing environments
- Strong background in probabilistic modeling and Bayesian optimization
- Demonstrated ability to secure research grants and patents