Job Description
Join QuantumLeap Labs at the forefront of 2026 technological evolution. We seek visionary AI Research Scientists to architect next-generation neural networks that will redefine human-machine interaction. As part of our elite Future Systems Division, you'll pioneer breakthroughs in quantum-inspired machine learning and autonomous reasoning systems. This role offers unparalleled access to our $500M R&D fund and collaboration with Nobel laureates.
Our state-of-the-art San Francisco campus features neuro-optimized workspaces and direct access to quantum computing clusters. We offer relocation packages, equity grants, and a wellness stipend to support your peak performance in this high-impact role.
Responsibilities
- Design and implement novel neural architectures for 2026-era autonomous systems
- Lead cross-functional teams in developing quantum-inspired AI algorithms
- Author peer-reviewed publications in top-tier AI/ML journals
- Collaborate with hardware engineers to optimize AI-quantum hybrid systems
- Translate theoretical breakthroughs into deployable enterprise solutions
- Mentor junior researchers in cutting-edge ML paradigms
Qualifications
- PhD in Computer Science, AI, or Quantum Computing with 5+ years industry experience
- Published research in NeurIPS/ICML/AAAI with >1000 citations
- Expertise in transformer architectures and quantum machine learning
- Proficiency in PyTorch/TensorFlow and quantum programming frameworks
- Track record of deploying production-grade AI systems at scale
- Strong mathematical foundation in linear algebra, probability, and topology
- Experience with neuromorphic computing hardware