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AI Ethics Research Lead

Nexus Futures Institute
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
21 Mei 2026
Deadline
21 Mei 2027

Job Description

Join Nexus Futures Institute at the forefront of ethical AI development. We're pioneering responsible AI frameworks for 2026 and beyond. As our AI Ethics Research Lead, you'll shape the future of human-AI collaboration while working with Nobel laureates and industry disruptors in our state-of-the-art downtown San Francisco facility.

Our team operates at the intersection of technology, philosophy, and policy to ensure AI systems align with human values. You'll lead groundbreaking research on algorithmic fairness, bias mitigation, and transparent decision-making in autonomous systems. This role offers unparalleled opportunities to influence global AI governance while mentoring the next generation of ethical technologists.

Responsibilities

  • Design and implement ethical AI frameworks for autonomous systems deployed in critical infrastructure
  • Lead cross-functional research teams in bias auditing and fairness optimization
  • Develop policy recommendations for regulatory bodies on AI governance standards
  • Collaborate with UN and OECD task forces on global AI ethics initiatives
  • Author white papers and peer-reviewed publications on AI accountability
  • Establish industry-wide benchmarks for ethical AI deployment metrics
  • Mentor PhD candidates in AI ethics through our academic partnership program

Qualifications

  • PhD in Computer Science, Philosophy, or related field with focus on AI ethics
  • 5+ years leading AI ethics initiatives in Fortune 500 or research institutions
  • Published research on algorithmic bias or explainable AI in top-tier journals
  • Deep expertise in EU AI Act and NIST AI Risk Management Framework
  • Experience with adversarial testing of autonomous systems
  • Strong background in moral philosophy and ethical decision-making models
  • Fluency in Python, R, and ML fairness libraries (AIF360, Fairlearn)

Required Skills

AI Ethics Algorithmic Fairness Machine Learning Policy Development Research Leadership Explainable AI Bias Mitigation Regulatory Compliance

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