Job Description
Join QuantumLeap Labs at the forefront of artificial intelligence revolution. We're pioneering breakthroughs in quantum-inspired machine learning for 2026 and beyond. As an AI Research Scientist, you'll architect next-gen neural architectures that redefine what's possible in computational intelligence. Our state-of-the-art incubator environment offers unparalleled resources to transform theoretical concepts into real-world applications.
We foster a culture of intellectual curiosity where your ideas shape the future of AI. Collaborate with Nobel laureates and Turing Award winners in our cross-disciplinary teams. Enjoy flexible research parameters, patent ownership support, and dedicated GPU clusters for experimental work.
Responsibilities
- Design and implement novel quantum-inspired neural network architectures
- Lead breakthrough research in unsupervised learning paradigms
- Develop proprietary algorithms for real-time AI optimization
- Publish findings in top-tier AI/ML journals and conferences
- Mentor junior researchers in advanced ML methodologies
- Collaborate with hardware teams to co-design AI-accelerated chips
- Secure external funding through NSF and DARPA proposals
Qualifications
- PhD in Machine Learning, Computer Science, or Physics (2020-2023 graduates preferred)
- 3+ years of hands-on experience with transformer architectures
- Published research in NeurIPS/ICML/ICLR with >100 citations
- Expertise in quantum computing frameworks (Qiskit, Cirq)
- Proficiency in PyTorch/TensorFlow with distributed training
- Strong background in differential geometry for neural manifolds
- Track record of open-source contributions (GitHub stars >500)