Job Description
Join QuantumLeap Dynamics at the forefront of technological revolution as we pioneer solutions for 2026 and beyond. We're seeking an AI Research Engineer to architect next-generation artificial intelligence systems that will redefine human-machine interaction. In this role, you'll collaborate with Nobel laureates and industry disruptors to develop quantum-encrypted neural networks and autonomous decision frameworks. Our state-of-the-art lab offers unparalleled resources including quantum computing clusters and petabyte-scale datasets. This isn't just a job—it's your chance to shape the future of human progress.
Responsibilities
- Design and implement cutting-edge AI architectures for 2026-era applications
- Lead quantum machine learning algorithm development using Qiskit and Cirq
- Collaborate with cross-functional teams to deploy AI solutions in autonomous systems
- Research and publish breakthrough findings in top-tier AI conferences
- Mentor junior engineers in emerging AI paradigms and ethical frameworks
- Optimize neural networks for edge computing and low-latency environments
- Develop proprietary AI frameworks with 10x efficiency improvements
Qualifications
- PhD in Computer Science, Machine Learning, or related field (or equivalent experience)
- 5+ years developing production-scale AI systems with TensorFlow/PyTorch
- Published research in NeurIPS/ICML/ICLR or equivalent tier conferences
- Expertise in quantum computing algorithms and quantum-resistant cryptography
- Proficiency in distributed ML frameworks (Ray, Horovod, Spark MLlib)
- Strong background in reinforcement learning and multi-agent systems
- Experience deploying AI solutions in regulated industries (healthcare/finance)
- Fluency in Python/C++ with deep understanding of computational complexity