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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Lead

FutureGuard Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Join FutureGuard Technologies at the forefront of responsible AI innovation. We're seeking an AI Ethics Lead to shape the ethical framework of 2026's intelligent systems. This pivotal role bridges cutting-edge AI development with human-centered principles, ensuring our technologies advance society while safeguarding privacy, fairness, and transparency. Lead cross-functional teams to embed ethical considerations into AI lifecycles, influence industry standards, and pioneer solutions for emerging ethical challenges in quantum computing and neural interfaces.

Our culture thrives on intellectual curiosity and collaborative innovation. You'll work alongside world-class researchers in our state-of-the-art San Francisco hub, with resources dedicated to exploring the ethical implications of AGI and biometric AI systems. This is your opportunity to define the conscience of tomorrow's technology.

Responsibilities

  • Develop and implement comprehensive AI ethics governance frameworks for 2026-generation systems
  • Conduct bias audits and impact assessments for machine learning models across sensitive domains
  • Lead stakeholder workshops with engineers, policymakers, and community representatives
  • Establish real-time monitoring systems for algorithmic fairness and transparency
  • Author industry-position papers on AI ethics in quantum and biometric contexts
  • Mentor cross-functional teams on ethical AI development practices

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field with 5+ years AI ethics experience
  • Proven expertise in implementing AI governance frameworks (e.g., EU AI Act, NIST RMF)
  • Deep understanding of bias mitigation techniques in ML pipelines
  • Experience working with quantum computing and neuro-ethical systems
  • Exceptional communication skills for translating complex ethical concepts
  • Published research in top-tier AI ethics journals or conferences
  • Certification in Responsible AI (e.g., IBM AI Ethics, Google ML Certificate)

Required Skills

AI Ethics Machine Learning Governance Quantum Computing Ethics Bias Mitigation Stakeholder Engagement NIST RMF EU AI Act Neuro-Ethics Research Leadership

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