Job Description
Join QuantumLeap Labs at the forefront of technological evolution as we redefine the future through AI-driven innovation. We're seeking a visionary AI Innovation Lead to architect groundbreaking solutions that will shape 2026 and beyond. In this pivotal role, you'll spearhead the development of next-generation AI systems while mentoring a world-class team of researchers and engineers. Our culture combines Silicon Valley agility with cutting-edge research, offering unparalleled opportunities to leave your mark on the technological landscape.
As a key architect of our 2026 technology roadmap, you'll collaborate with industry pioneers to transform theoretical concepts into scalable AI solutions that impact billions of lives. We provide comprehensive benefits including equity, flexible work arrangements, and continuous learning stipends to fuel your growth.
Responsibilities
- Architect and lead development of next-generation AI systems for 2026 technological landscape
- Drive research in emerging AI domains including quantum computing integration and neural-symbolic AI
- Mentor cross-functional teams of ML engineers, data scientists, and research scientists
- Establish strategic partnerships with academic institutions and industry leaders
- Translate complex technical concepts into actionable product roadmaps
- Ensure ethical AI deployment frameworks align with evolving regulatory standards
- Present breakthrough innovations to executive stakeholders and investors
Qualifications
- PhD in Computer Science, AI, or related field with 8+ years industry experience
- Proven track record shipping production AI systems serving >1M users
- Expertise in transformer architectures, reinforcement learning, and multimodal AI
- Published research in top-tier AI conferences (NeurIPS, ICML, CVPR)
- Strong background in MLOps and scalable AI infrastructure
- Experience leading cross-functional technical teams of 15+ professionals
- Demonstrated ability to secure $5M+ in research funding or partnerships
- Deep understanding of AI ethics frameworks and regulatory compliance