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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Lead

Nexus Future Labs
San Francisco
Estimated Salary
USD 175.000 – USD 225.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Nexus Future Labs at the forefront of ethical AI development as we pioneer responsible AI frameworks for 2026. We're seeking a visionary AI Ethics & Governance Lead to shape the future of machine learning ethics across our autonomous systems, generative AI platforms, and predictive analytics tools. This role requires deep technical acumen paired with philosophical rigor to balance innovation with societal impact.

You'll collaborate with quantum computing researchers, neuroscientists, and policy advisors to establish ethical guardrails for next-gen AI. Our mission: ensuring AI advances human dignity while mitigating existential risks. This hybrid role offers equity participation in our AI ethics patent portfolio.

Responsibilities

  • Design and implement ethical governance frameworks for generative AI systems
  • Conduct bias audits of neural networks and algorithmic decision-making processes
  • Develop corporate AI ethics policies aligned with 2026 regulatory landscapes
  • Lead cross-functional ethics reviews for autonomous system deployments
  • Establish stakeholder engagement protocols for AI transparency initiatives
  • Author white papers on emerging ethical challenges in quantum AI
  • Mentor junior researchers in applied ethics for machine learning

Qualifications

  • PhD in Ethics, Philosophy, or Cognitive Science with 5+ years AI governance experience
  • Expertise in ISO/IEC 42001 and EU AI Act compliance frameworks
  • Proven track record of bias mitigation in large-scale ML models
  • Published research on algorithmic fairness or explainable AI
  • Experience with federated learning ethics protocols
  • Certification in Responsible AI (RAI) or similar credential
  • Demonstrated ability to translate complex ethical concepts into technical requirements

Required Skills

AI Ethics Algorithmic Governance Machine Learning Auditing Regulatory Compliance Neural Network Explainability Quantum Ethics Stakeholder Engagement Policy Development

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