Job Description
Join QuantumLeap Labs at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We seek an exceptional AI Research Scientist to drive breakthroughs in quantum machine learning and autonomous systems. In this pivotal role, you'll collaborate with Nobel laureates and industry disruptors to architect next-generation AI frameworks that will redefine human-computer interaction. Our state-of-the-art Silicon Valley campus offers unparalleled resources including quantum computing clusters and neural network accelerators. This position includes equity participation in our $500M Series C funding round and comprehensive benefits package including unlimited PTO and sabbatical programs.
Responsibilities
- Lead research initiatives in generative adversarial networks for 2026-era data synthesis
- Develop novel quantum-resistant encryption algorithms for next-gen security protocols
- Architect multi-modal AI systems integrating computer vision, NLP, and predictive analytics
- Publish findings in top-tier journals (Nature, Science, NeurIPS) and present at global conferences
- Mentor junior researchers and cross-functional engineering teams
- Secure $5M+ in government/private research grants annually
- Collaborate with MIT and Stanford on 2026 AI ethics frameworks
Qualifications
- PhD in Machine Learning, Computer Science, or Quantum Physics (or equivalent research experience)
- 5+ years developing production-level AI systems with TensorFlow/PyTorch
- Published research in top-tier AI/quantum computing conferences (NeurIPS, ICML, QIP)
- Expertise in reinforcement learning for autonomous systems
- Proficiency in quantum programming languages (Q#, Qiskit)
- Strong background in differential privacy and federated learning
- Experience securing DARPA/NIH research grants
- Portfolio of deployed AI systems handling >10M daily transactions