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Information Technology 🏢 Full Time ⭐️ Verified

AI Innovation Lead

QuantumLeap Dynamics
San Francisco
Estimated Salary
USD 175.000 – USD 225.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join the forefront of technological evolution as QuantumLeap Dynamics seeks an AI Innovation Lead to architect the future of intelligent systems. This pivotal role demands a visionary strategist to drive cutting-edge AI projects that will redefine industry standards by 2026. You'll lead a multidisciplinary team in developing scalable machine learning solutions while fostering a culture of ethical innovation and sustainable growth.

We offer unparalleled opportunities to work with Fortune 500 clients, a $500M R&D budget, and a hybrid work model that balances collaboration with autonomy. Our state-of-the-art facilities in downtown San Francisco provide the perfect backdrop for breakthrough discoveries.

Responsibilities

  • Architect and deploy AI/ML frameworks for enterprise-scale predictive analytics
  • Lead cross-functional teams of data scientists and engineers in rapid prototyping
  • Develop 5-year innovation roadmaps aligned with quantum computing integration
  • Establish ethical AI governance frameworks and compliance protocols
  • Secure $10M+ in venture capital for experimental R&D initiatives
  • Drive partnerships with academic institutions for talent cultivation
  • Present breakthrough findings at global tech summits

Qualifications

  • PhD in Computer Science or equivalent with 8+ years AI implementation experience
  • Proven track record of leading $5M+ AI transformation projects
  • Expertise in generative AI, neural architecture search, and federated learning
  • Published research in top-tier AI journals (NeurIPS, ICML, ICLR)
  • Proficiency in Python, TensorFlow, and distributed computing frameworks
  • Strong patent portfolio (minimum 3 AI-related US patents)
  • Certification in AI ethics frameworks (IEEE, ACM)

Required Skills

AI Machine Learning Deep Learning Python TensorFlow Quantum Computing Neural Networks Data Science Ethics R&D Management

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