Job Description
Join QuantumLeap Technologies at the forefront of 2026's AI revolution! We're pioneering quantum-enhanced machine learning models that will redefine technological boundaries. As an AI Research Scientist, you'll architect breakthrough systems for autonomous decision-making, predictive analytics, and generative AI applications. Our interdisciplinary team collaborates with Nobel laureates and industry disruptors to solve humanity's most complex challenges.
Why QuantumLeap? State-of-the-art quantum computing labs, unlimited research budget, and equity in our IPO-bound startup. We offer relocation packages, flexible schedules, and opportunities to publish in Nature/Science journals.
Responsibilities
- Design and implement quantum-entangled neural networks for next-gen AI systems
- Lead cross-functional teams in developing generative AI models with real-world applications
- Publish 3+ peer-reviewed papers annually in top-tier AI/quantum journals
- Translate theoretical research into production-ready algorithms with 99.99% accuracy
- Collaborate with ethics board to ensure responsible AI deployment frameworks
- Secure $2M+ in annual research grants from NSF/DARPA/industry partners
Qualifications
- PhD in Computer Science, Quantum Physics, or related field (or equivalent experience)
- 5+ years developing production AI systems at scale (TensorFlow/PyTorch expertise)
- Published record in top-tier AI/quantum conferences (NeurIPS, QIP)
- Proficiency in quantum programming languages (Qiskit, Cirq)
- Experience with high-performance computing clusters (HPC) and GPU optimization
- Strong background in reinforcement learning and multi-agent systems
- Proven ability to secure competitive research funding