Job Description
Join QuantumLeap Dynamics at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We seek an AI/ML Innovation Lead to architect next-generation systems that will redefine industries. This role offers unparalleled opportunities to shape the future of artificial intelligence while working with a team of world-class researchers and engineers in our state-of-the-art San Francisco hub. You'll drive initiatives that transform data into actionable intelligence, creating scalable solutions for global challenges.
Our ideal candidate thrives at the intersection of cutting-edge research and practical application, with a passion for ethical AI development. You'll collaborate with Fortune 500 partners to build predictive models, automate complex systems, and deliver breakthrough innovations that will power the next decade of technological advancement.
Responsibilities
- Lead development of AI/ML frameworks for 2026-era applications across healthcare, finance, and logistics sectors
- Architect scalable neural networks and deep learning systems with 10x efficiency improvements
- Mentor cross-functional teams in MLOps best practices and responsible AI implementation
- Drive innovation through competitive research initiatives and patent development
- Establish strategic partnerships with academic institutions and industry leaders
- Translate complex technical concepts into actionable business strategies for C-suite stakeholders
- Oversee end-to-end model deployment in cloud-native environments (AWS/GCP/Azure)
Qualifications
- PhD or equivalent experience in Computer Science, AI, or Machine Learning with 5+ years industry application
- Proven expertise in transformer architectures, reinforcement learning, and quantum-ML hybrids
- Published research in top-tier AI conferences (NeurIPS, ICML, ICLR) or equivalent impact
- Proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks
- Experience leading $5M+ AI initiatives with measurable ROI in enterprise environments
- Strong background in ethical AI frameworks and regulatory compliance (GDPR, CCPA, EU AI Act)
- Demonstrated ability to translate technical vision into cross-functional execution plans