Job Description
Join Quantum Leap Technologies at the forefront of 2026's AI revolution. We're pioneering next-generation neural networks that will redefine human-machine interaction. As a key member of our Future Intelligence Lab, you'll architect breakthrough solutions for autonomous systems, predictive analytics, and quantum-enhanced machine learning. Our San Francisco campus offers state-of-the-art facilities and unparalleled collaboration with Nobel laureates and industry disruptors.
What You'll Achieve:
Shape the trajectory of AI development through 2026 and beyond. You'll lead research initiatives that push the boundaries of computational intelligence while mentoring the next generation of AI pioneers. We provide competitive equity packages, unlimited learning stipends, and flexible work arrangements designed for peak innovation.
Responsibilities
- Design and implement novel AI architectures for 2026-era applications
- Lead cross-functional research teams in quantum machine learning projects
- Publish breakthrough findings in top-tier AI/ML journals and conferences
- Develop patent-pending algorithms for autonomous decision systems
- Collaborate with hardware engineers to optimize AI-quantum hybrid systems
- Mentor junior researchers and establish new industry benchmarks
- Secure $1M+ in annual research grants from NSF and DARPA
Qualifications
- PhD in Computer Science, AI, or related field (or equivalent experience)
- 5+ years developing production-scale ML systems (TensorFlow/PyTorch)
- Published research in NeurIPS/ICML/ICLR with 500+ citations
- Expertise in quantum computing algorithms and hybrid AI systems
- Proven track record of translating research into commercial applications
- Strong background in reinforcement learning and neural architecture search
- Experience with federated learning and ethical AI frameworks