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AI Ethics Lead 2026

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join Nexus Innovations at the forefront of shaping humanity's digital future. We're seeking a visionary AI Ethics Lead to architect responsible AI frameworks for 2026 and beyond. This pivotal role bridges cutting-edge AI development with human-centric governance, ensuring our innovations advance society while mitigating existential risks. You'll collaborate with Nobel laureates, policymakers, and global tech luminaries to define the ethical blueprints that will guide the next generation of autonomous systems.

Our culture thrives on intellectual audacity and collaborative disruption. Enjoy unparalleled benefits including unlimited learning stipends, flexible hybrid work across our Pacific Coast innovation hubs, and equity in a company valued at $2.3B. Shape the future of artificial intelligence – apply today.

Responsibilities

  • Design and implement corporate-wide AI ethics frameworks aligned with 2026 regulatory landscapes
  • Lead cross-functional ethics audits for autonomous systems and generative AI deployments
  • Develop predictive risk models for AI existential threats and societal disruption scenarios
  • Represent Nexus at global AI ethics summits including OECD and UN forums
  • Mentor ethics task force comprising philosophers, data scientists, and policy experts
  • Author industry white papers on AI alignment and value learning methodologies

Qualifications

  • PhD in AI Ethics, Philosophy of Technology, or Cognitive Science (or equivalent experience)
  • 5+ years in AI governance with demonstrated impact on policy development
  • Published research on value alignment or machine learning interpretability
  • Expertise in ISO/IEC 42001 and EU AI Act compliance frameworks
  • Proficiency in counterfactual reasoning and causal inference tools
  • Experience advising Fortune 100 companies on responsible AI adoption

Required Skills

AI Ethics Machine Learning Governance Policy Development Risk Modeling Value Alignment Causal Inference ISO/IEC 42001 EU AI Act

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