Job Description
Join QuantumLeap Dynamics at the forefront of technological evolution as we pioneer solutions that will redefine industries by 2026. We're seeking an AI/ML Engineer to architect and deploy cutting-edge machine learning systems that solve tomorrow's challenges today. Our team operates at the intersection of quantum computing and neural networks, creating autonomous systems that adapt in real-time to global market shifts.
As a key innovator in our 2026 Vision Lab, you'll collaborate with Nobel laureates and industry disruptors to transform theoretical AI into practical applications. We offer unparalleled resources, including access to our quantum annealing clusters and a $50M R&D budget dedicated to next-generation AI breakthroughs.
Responsibilities
- Design and implement scalable ML pipelines for predictive analytics and autonomous decision systems
- Develop quantum-enhanced neural networks capable of real-time adaptation to dynamic environments
- Lead cross-functional projects integrating AI with IoT and blockchain technologies
- Conduct advanced research in explainable AI and ethical algorithm development
- Optimize model performance for edge deployment in resource-constrained 2026-era infrastructure
- Mentor junior engineers in emerging ML paradigms like federated learning and neuromorphic computing
Qualifications
- PhD in Computer Science, AI, or related field with 5+ years of production ML experience
- Expertise in PyTorch/TensorFlow and quantum computing frameworks (Qiskit, Cirq)
- Published research in top-tier AI/ML conferences (NeurIPS, ICML, ICLR)
- Proven track record deploying ML systems at scale (>10M daily inferences)
- Mastery of distributed computing and GPU/TPU optimization techniques
- Deep understanding of ethical AI frameworks and bias mitigation strategies
- Experience with MLOps and CI/CD for ML pipelines