Job Description
Join QuantumLeap Technologies at the forefront of 2026's AI revolution! We're pioneering next-generation neural networks that will redefine human-machine collaboration. As an AI Research Scientist, you'll architect breakthrough algorithms in quantum-inspired machine learning while collaborating with Nobel laureates and industry disruptors. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical concepts into world-changing applications.
This role is perfect for visionary researchers who thrive at the intersection of computer science, neuroscience, and quantum computing. Enjoy flexible hours, unlimited R&D budget, and the opportunity to shape AI's ethical framework for the next decade.
Responsibilities
- Design and implement novel deep learning architectures for quantum-entangled data processing
- Lead cross-functional teams in prototyping AI systems with 10x current efficiency benchmarks
- Publish breakthrough research in top-tier journals (Nature AI, Science Robotics)
- Develop ethical frameworks for autonomous decision-making in critical infrastructure
- Mentor PhD candidates through our 2026 Fellowship Program
- Collaborate with hardware teams to co-design AI-optimized quantum processors
- Secure $5M+ in annual research grants through NSF and DARPA partnerships
Qualifications
- PhD in AI/ML/Computer Science or equivalent with 5+ years industry R&D
- Published 10+ papers in top-tier ML conferences (NeurIPS, ICML, ICLR)
- Expertise in transformer architectures, federated learning, and neuromorphic computing
- Proficiency in Python, TensorFlow/PyTorch, and quantum programming frameworks
- Proven track record of deploying production-grade AI systems at scale
- Experience with ethical AI governance frameworks (EU AI Act, NIST RMF)
- Strong background in computational neuroscience or quantum information theory