Job Description
Join QuantumLeap Labs at the forefront of technological innovation shaping 2026 and beyond. We're seeking visionary AI Research Scientists to pioneer breakthroughs in quantum machine learning and neural networks. Work in our state-of-the-art facility alongside Nobel laureates and industry disruptors. Enjoy unparalleled resources, flexible work arrangements, and equity in a company valued at $2B+. Your research will directly impact autonomous systems, healthcare diagnostics, and climate modeling.
Responsibilities
- Lead cutting-edge research in quantum-entangled neural networks
- Develop novel algorithms for unsupervised learning in edge computing environments
- Collaborate with hardware teams to optimize AI-quantum hybrid systems
- Publish findings in top-tier journals (Nature, Science, NeurIPS)
- Secure $5M+ in government/industry research grants
- Mentor PhD researchers and lead cross-functional innovation sprints
Qualifications
- PhD in Computer Science, Quantum Physics, or related field
- 3+ years experience with transformer architectures and quantum computing
- Published research in top-tier ML/quantum journals
- Proficiency in PyTorch, TensorFlow, and quantum SDKs (Qiskit, Cirq)
- Expertise in differential privacy and federated learning
- Track record of translating research into commercial applications
- Strong background in computational complexity theory