Job Description
Join QuantumLeap Labs at the forefront of technological evolution! We're pioneering next-generation AI systems that will redefine industries by 2026. As an AI Research Scientist, you'll architect breakthrough algorithms in quantum computing and neural networks, collaborating with Nobel laureates and industry disruptors. Our state-of-the-art facility in San Francisco offers unparalleled resources for innovation, including a 500-qubit quantum computer and petascale GPU clusters. If you're passionate about solving humanity's grand challenges through artificial intelligence, this is your opportunity to shape tomorrow's reality today.
Responsibilities
- Design and implement novel machine learning architectures for quantum-classical hybrid systems
- Lead cross-functional teams in developing ethical AI frameworks for 2026 deployment
- Publish top-tier research in Nature/Science journals with real-world impact metrics
- Optimize neural networks for edge quantum processors at sub-10 Kelvin temperatures
- Mentor PhD candidates in advanced reinforcement learning techniques
- Secure $5M+ in government grants for AI safety initiatives
Qualifications
- PhD in Computer Science, Quantum Physics, or related field with 5+ years industry experience
- Expertise in tensor networks and quantum machine learning frameworks (Qiskit, Cirq)
- Published 15+ peer-reviewed papers in top AI/quantum conferences (NeurIPS, QIP)
- Proven track record of deploying production-grade AI systems with >99.9% uptime
- Fluency in Python, Rust, and quantum assembly languages
- Deep understanding of quantum decoherence mitigation strategies
- Experience with neuromorphic computing hardware (Intel Loihi, IBM TrueNorth)