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AI Ethics & Governance Lead

Quantum Leap Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Join Quantum Leap Labs at the forefront of shaping responsible AI for 2026. We're seeking a visionary AI Ethics & Governance Lead to architect ethical frameworks for next-generation autonomous systems. This role sits at the intersection of technology, policy, and human impact, requiring deep technical acumen and philosophical rigor. You'll collaborate with Nobel laureates, government agencies, and global startups to ensure AI developments align with humanity's best interests while driving commercial innovation.

We offer unparalleled benefits including unlimited learning stipends, flexible hybrid work, and equity in our pre-IPO unicorn. Our state-of-the-art lab features neurofeedback integration and quantum computing resources. Perfect for candidates who thrive at the bleeding edge of technology ethics.

Responsibilities

  • Design and implement auditable AI governance frameworks for autonomous systems deployed in healthcare and critical infrastructure
  • Lead cross-functional ethics boards with engineers, legal experts, and community representatives
  • Develop bias mitigation protocols for generative AI models using federated learning approaches
  • Create transparency dashboards for AI decision-making processes in compliance with evolving global regulations
  • Conduct scenario planning for existential risk mitigation in advanced AI systems
  • Represent company at UN AI summits and industry ethics coalitions
  • Mentor AI ethics fellows in our academic partnership program

Qualifications

  • PhD in Computer Science, Philosophy, or Jurisprudence with focus on AI ethics
  • 5+ years experience in AI governance at FAANG or equivalent tech governance roles
  • Published research on algorithmic bias or AI alignment in top-tier journals
  • Certification in EU AI Act compliance or equivalent regulatory frameworks
  • Deep understanding of quantum computing's implications for AI ethics
  • Experience testifying before legislative bodies on AI policy
  • Portfolio demonstrating real-world AI ethics implementations
  • Fluency in at least two programming languages (Python preferred)

Required Skills

AI Ethics Governance Machine Learning Quantum Computing Regulatory Compliance Policy Development Bias Mitigation Autonomous Systems

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