Job Description
Join QuantumLeap Labs at the forefront of 2026's technological revolution! We're seeking visionary AI Research Scientists to pioneer breakthrough solutions in quantum computing, autonomous systems, and next-gen neural networks. Our state-of-the-art Innovation Lab offers unparalleled resources and collaborative freedom to transform theoretical concepts into real-world applications that will shape humanity's digital future.
As a cornerstone of our R&D division, you'll work alongside Nobel laureates and industry disruptors to develop proprietary algorithms that redefine machine learning paradigms. We provide competitive equity packages, flexible hybrid work arrangements, and dedicated research funding for your most ambitious projects.
Responsibilities
- Lead cutting-edge research in quantum machine learning and generative AI models
- Design and implement novel neural architectures for autonomous decision-making systems
- Collaborate with hardware teams to optimize AI-quantum computing integration
- Publish findings in top-tier journals (Nature, Science, NeurIPS) and present at global conferences
- Mentor junior researchers and cross-functional engineering teams
- Secure external research grants from NSF, DARPA, and industry consortiums
- Translate theoretical breakthroughs into scalable production prototypes
Qualifications
- PhD in Computer Science, AI, Quantum Computing, or related field (or equivalent research experience)
- 5+ years of hands-on experience with transformer architectures and reinforcement learning
- Publication record in top-tier AI/ML conferences (NeurIPS, ICML, ICLR)
- Expertise in PyTorch/TensorFlow and quantum programming frameworks (Qiskit, Cirq)
- Proven ability to lead multi-disciplinary research projects from ideation to deployment
- Strong mathematical foundations in linear algebra, probability, and information theory
- Experience with high-performance computing clusters and distributed training
- Entrepreneurial mindset with passion for commercializing research innovations