Job Description
Join QuantumLeap Labs at the forefront of technological evolution! We're pioneering 2026-ready AI solutions that redefine industries. As an AI/ML Engineer, you'll architect next-gen neural networks and deploy scalable machine learning systems that will shape tomorrow's digital landscape. Our state-of-the-art R&D center in San Francisco offers unparalleled resources to transform theoretical breakthroughs into real-world innovations.
Why QuantumLeap? We're not just building for today—we're engineering the future. With industry-leading R&D partnerships and a culture of radical innovation, you'll collaborate with Nobel laureates and disruptors who challenge the status quo. Your work will directly impact autonomous systems, quantum-enhanced AI, and ethical ML frameworks that will define 2026.
Responsibilities
- Design and implement cutting-edge ML pipelines for next-gen autonomous systems
- Develop quantum-enhanced AI algorithms leveraging 2026 computing paradigms
- Architect ethical ML frameworks ensuring bias mitigation and transparency
- Lead cross-functional teams in deploying scalable AI solutions at global scale
- Pioneer research in neuromorphic computing and brain-inspired architectures
- Optimize models for edge deployment in 6G and IoT ecosystems
- Contribute to open-source projects advancing 2026 AI standards
Qualifications
- 5+ years in ML engineering with production-level neural networks
- Expertise in PyTorch/TensorFlow and distributed ML frameworks
- PhD in ML/AI or equivalent breakthrough research portfolio
- Published work in top-tier AI conferences (NeurIPS, ICML)
- Experience with quantum computing APIs (Qiskit, Cirq)
- Proficiency in deploying models on edge devices and 5G/6G networks
- Demonstrated ability to lead technical teams through ambiguous challenges