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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Innovation Lead

QuantumLeap Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Shape the future as QuantumLeap Technologies' 2026 AI Innovation Lead. We're seeking a visionary leader to spearhead our next-generation AI initiatives at the intersection of quantum computing, neural networks, and predictive analytics. Join our elite team developing breakthrough solutions for autonomous systems, climate modeling, and personalized medicine. Enjoy hybrid work, cutting-edge resources, and equity in a rapidly scaling unicorn.

Why QuantumLeap? Named Forbes' 'Most Innovative Tech Workplace 2025,' we offer 20% R&D time, unlimited learning stipends, and industry-leading benefits including 4-day work weeks. Our culture thrives on intellectual curiosity and bold experimentation.

Responsibilities

  • Architect and deploy AI/ML frameworks for 2026-era quantum-resistant applications
  • Lead cross-functional teams of ML engineers, data scientists, and quantum specialists
  • Develop patent-pending algorithms for real-time predictive analytics at petabyte scale
  • Partner with Fortune 500 clients to integrate next-gen AI into existing ecosystems
  • Present breakthrough findings at global tech summits and peer-reviewed journals
  • Mentor talent in emerging disciplines like neuromorphic computing and AGI safety

Qualifications

  • PhD in Computer Science/AI or equivalent with 8+ years industry experience
  • Published research in top-tier venues (NeurIPS, ICML, Nature AI) by 2024
  • Expertise in quantum machine learning frameworks (Qiskit, PennyLane)
  • Proven track record shipping production AI systems with 99.99% uptime
  • Strong background in federated learning and differential privacy
  • Experience securing $5M+ in AI research grants or venture funding

Required Skills

Quantum Computing Machine Learning Neural Networks Predictive Analytics AI Ethics Quantum Machine Learning Neuromorphic Computing AGI Safety

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