Job Description
Join QuantumLeap Labs at the forefront of 2026's technological revolution! We're seeking visionary AI Research Scientists to pioneer breakthroughs in quantum-computing-integrated machine learning. Our state-of-the-art San Francisco campus offers unparalleled resources to transform theoretical concepts into scalable solutions that will redefine industries.
As part of our elite Future Systems Division, you'll collaborate with Nobel laureates and disrupt industries through autonomous systems, ethical AI frameworks, and next-gen neural networks. We offer competitive equity packages, flexible work arrangements, and dedicated R&D budgets for your moonshot projects.
Responsibilities
- Lead research initiatives in quantum-enhanced AI algorithms and neural network optimization
- Develop prototype systems for autonomous decision-making in high-stakes environments
- Collaborate with hardware engineers to co-design quantum-AI hybrid computing architectures
- Publish findings in top-tier journals and present at global tech summits
- Mentor cross-functional teams in implementing bleeding-edge AI frameworks
- Secure patents for novel AI methodologies with commercialization potential
Qualifications
- PhD in Computer Science, AI, or Quantum Computing with 5+ years industry experience
- Published research in quantum machine learning or neuromorphic computing
- Expertise in Python, TensorFlow/PyTorch, and quantum programming frameworks
- Proven track record of deploying AI models at scale in production environments
- Deep understanding of ethical AI governance frameworks and bias mitigation
- Experience securing $1M+ in government or corporate research grants