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Information Technology 🏢 Full Time ⭐️ Verified

AI Innovation Lead

Nexus Futura
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Join Nexus Futura at the forefront of technological evolution as we redefine the future. We're seeking an AI Innovation Lead to architect groundbreaking solutions that will shape industries by 2026. This role blends visionary strategy with hands-on execution in a dynamic, Silicon Valley environment.

Why Nexus Futura? We're not just building products—we're building the future. Our cross-functional teams work at the intersection of quantum computing, neural interfaces, and sustainable AI. You'll lead initiatives that directly impact how humanity interacts with technology in the coming decade.

Responsibilities

  • Architect AI roadmaps aligned with 2026 technological inflection points
  • Lead cross-functional teams in developing next-gen ML/NLP systems
  • Drive innovation in ethical AI frameworks and responsible automation
  • Partner with quantum computing teams to hybridize classical-quantum AI models
  • Secure $15M+ in R&D funding through investor presentations and white papers
  • Mentor junior researchers and publish breakthrough findings at NeurIPS/ICML
  • Collaborate with policy experts to shape future AI regulatory landscapes

Qualifications

  • 10+ years in AI/ML with 5+ years in leadership roles
  • Published research in top-tier AI conferences (NeurIPS, ICML, ICLR)
  • Expertise in transformer architectures, reinforcement learning, and generative AI
  • Experience scaling ML systems to 10B+ parameter models
  • PhD in Computer Science, Mathematics, or equivalent practical expertise
  • Portfolio demonstrating commercialization of AI innovations
  • Deep understanding of quantum computing fundamentals
  • Certification in AI ethics frameworks (e.g., IEEE, ACM)

Required Skills

Artificial Intelligence Machine Learning Quantum Computing Neural Networks Strategic Planning Research Leadership Ethical AI Reinforcement Learning Generative AI Data Science

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