Job Description
Shape the future at QuantumLeap Dynamics, where we're pioneering breakthroughs in quantum-AI hybrid systems for 2026 and beyond. As an AI Research Scientist, you'll lead transformative projects at the intersection of quantum computing, neural networks, and predictive analytics. Join our elite team in San Francisco to develop next-generation algorithms that will redefine technological boundaries. We offer unparalleled resources, collaborative innovation spaces, and a culture that celebrates intellectual curiosity.
Your work will directly impact industries from healthcare to autonomous systems, pushing the limits of what's computationally possible. This is more than a role—it's your chance to build the future today.
Responsibilities
- Design and implement quantum-enhanced machine learning models for complex problem domains
- Lead cross-functional R&D projects in neuromorphic computing and adaptive AI systems
- Develop proprietary algorithms for predictive analytics in edge computing environments
- Collaborate with quantum hardware engineers to optimize AI-quantum integration
- Publish cutting-edge research in top-tier journals and conferences
- Mentor junior researchers and drive innovation through technical workshops
- Translate theoretical breakthroughs into scalable production-ready solutions
Qualifications
- PhD in Computer Science, Quantum Physics, or related field with 3+ years industry experience
- Expertise in quantum machine learning frameworks (Qiskit, Cirq, or PennyLane)
- Proficiency in Python, TensorFlow/PyTorch, and high-performance computing
- Published research in top-tier AI/quantum conferences (NeurIPS, ICML, QIP)
- Strong background in distributed systems and cloud architecture (AWS/Azure)
- Experience with neuromorphic computing hardware (Loihi, IBM TrueNorth)
- Demonstrated ability to translate complex concepts into actionable research roadmaps