Job Description
Join QuantumLeap Labs at the forefront of 2026's AI revolution! We're seeking visionary AI Research Scientists to pioneer breakthroughs in quantum machine learning and neural architecture optimization. Our state-of-the-art San Francisco campus offers unparalleled resources to transform theoretical models into real-world solutions that will redefine industries.
As a key member of our Future Technologies division, you'll collaborate with Nobel laureates and Turing Award winners to develop next-generation AI systems. We offer competitive equity packages, unlimited learning stipends, and flexible hybrid work arrangements for top-tier talent shaping tomorrow's innovations today.
Responsibilities
- Lead research initiatives in quantum-enhanced neural networks and adaptive AI systems
- Develop novel algorithms for unsupervised learning and autonomous decision-making
- Publish breakthrough findings in top-tier journals and present at global AI symposia
- Collaborate with engineering teams to prototype research concepts into production-ready solutions
- Secure $2M+ in annual research grants through innovative proposal development
- Mentor postdoctoral researchers and PhD candidates in cutting-edge AI methodologies
- Patent proprietary technologies with 95+ success rate in IP portfolio expansion
Qualifications
- PhD in Computer Science, Machine Learning, or Computational Physics with 3+ years research experience
- Published 15+ peer-reviewed papers in venues like NeurIPS, ICML, or Nature AI
- Expertise in TensorFlow/PyTorch frameworks and quantum computing APIs (Qiskit, Cirq)
- Proven track record of translating research into commercial AI products
- Strong background in reinforcement learning and generative adversarial networks
- Experience securing federal research grants (NSF, DARPA, DOE)
- Fluency in Python, C++, and high-performance computing architectures
- Exceptional problem-solving abilities with demonstrated creativity in algorithm design