Job Description
Join QuantumLeap Dynamics at the forefront of technological evolution as we pioneer breakthrough AI systems for 2026 and beyond. We seek an innovative 2026 AI Research Lead to architect next-generation machine learning frameworks that will redefine industry standards. This role offers unparalleled opportunities to shape the future of autonomous systems, quantum-AI hybrid models, and ethical AI governance. Collaborate with Nobel laureates and disrupt traditional paradigms in our state-of-the-art Palo Alto incubator.
Responsibilities
- Lead R&D initiatives for 2026-era neural networks and quantum-entangled AI architectures
- Design scalable ML pipelines processing petabyte-scale datasets across 50+ industries
- Develop ethical AI frameworks compliant with 2026 global regulatory standards
- Mentor cross-functional teams of 15+ PhD researchers and engineers
- Secure $5M+ annual research funding through DARPA and NSF partnerships
- Pioneer human-AI symbiosis interfaces for medical and climate applications
Qualifications
- PhD in AI/ML, Quantum Computing, or Computational Physics (2018-2023)
- 5+ years leading AI teams with published NeurIPS/ICML papers
- Expertise in transformer architectures, federated learning, and quantum machine learning
- Proven track record of deploying AI systems at Fortune 100 scale
- Strong background in AI ethics and bias mitigation frameworks
- Proficiency in PyTorch, TensorFlow, and quantum programming languages