Job Description
Join QuantumLeap Innovations at the forefront of technological evolution. We're pioneering quantum-AI integration to solve humanity's most complex challenges. As an AI Research Scientist, you'll architect next-generation neural networks that leverage quantum computing principles, pushing the boundaries of what's possible in machine learning and artificial intelligence. Our state-of-the-art lab in San Francisco offers unparalleled resources and a collaborative environment where your ideas shape tomorrow's innovations. We value disruptive thinking, ethical AI development, and a relentless pursuit of breakthroughs that will redefine industries by 2026.
Responsibilities
- Design and implement quantum-enhanced AI algorithms for optimization, simulation, and pattern recognition
- Lead cross-functional teams in developing hybrid quantum-classical machine learning frameworks
- Publish breakthrough research in top-tier AI/quantum computing journals and conferences
- Collaborate with hardware engineers to optimize AI models for quantum processors
- Translate theoretical quantum computing concepts into practical AI applications
- Develop ethical guidelines for quantum-AI systems and bias mitigation protocols
- Secure $5M+ in research grants through compelling proposals and technical presentations
Qualifications
- PhD in Computer Science, Physics, or related field with 3+ years in quantum computing or advanced AI research
- Expertise in Python, TensorFlow/PyTorch, and quantum programming frameworks (Qiskit, Cirq)
- Proven track record of publishing in Nature, Science, or top-tier AI conferences
- Deep understanding of quantum algorithms (Shor's, Grover's, VQE) and quantum machine learning
- Experience with high-performance computing and distributed training architectures
- Strong background in linear algebra, probability, and information theory
- Ability to translate complex quantum concepts into actionable engineering solutions