Job Description
Join QuantumLeap Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI fusion systems and autonomous neural networks that will redefine human-machine collaboration. As an AI Research Scientist, you'll architect breakthrough solutions for climate modeling, personalized medicine, and next-gen robotics in our state-of-the-art San Francisco facility.
What You'll Achieve: Lead cross-disciplinary projects with Nobel laureates, publish in Nature/Science journals, and shape the AI ethics frameworks governing 2026's autonomous systems. Our patent-pending neuro-symbolic integration platform offers unparalleled R&D resources.
Responsibilities
- Design and implement quantum-enhanced machine learning algorithms for 2026-scale data challenges
- Lead development of explainable AI frameworks for high-stakes medical and climate applications
- Collaborate with neuroscientists to create brain-inspired computing architectures
- Establish ethical AI governance protocols for autonomous systems deployment
- Secure $5M+ in DARPA/NSF funding for frontier research initiatives
- Mentor PhD candidates in quantum-AI hybrid systems
Qualifications
- PhD in AI, Quantum Computing, or Computational Neuroscience (or equivalent research impact)
- 5+ years in advanced ML research with peer-reviewed publications at NeurIPS/ICML
- Expertise in tensor networks, variational quantum algorithms, and neuromorphic computing
- Proficiency in Python, PyTorch, Qiskit, and high-performance computing frameworks
- Experience with federated learning and differential privacy for sensitive 2026 data ecosystems
- Demonstrated ability to translate theoretical research into deployable solutions