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AI Ethics Research Lead

Nexus Horizons
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus Horizons at the forefront of responsible AI development. We're seeking visionary AI Ethics Research Leads to shape ethical frameworks for 2026's autonomous systems. You'll pioneer breakthroughs in algorithmic fairness, bias mitigation, and transparent AI governance while collaborating with Nobel laureates and industry disruptors. This role offers unparalleled influence in defining how humanity coexists with intelligent machines.

Our revolutionary Quantum Ethics Lab provides resources unmatched in the industry, including access to 10,000-qubit processors and cross-disciplinary teams of philosophers, engineers, and policy experts. Enjoy flexible work arrangements, unlimited learning stipends, and equity in a company valued at $2B+.

Responsibilities

  • Design and implement ethical validation protocols for next-gen AI systems
  • Lead cross-functional teams in bias auditing and fairness optimization
  • Develop industry standards for explainable AI and autonomous decision-making
  • Collaborate with UN agencies on global AI governance frameworks
  • Publish peer-reviewed research in top-tier AI ethics journals
  • Mentor emerging researchers through our Future Ethics Fellowship program

Qualifications

  • PhD in Computer Science, Ethics, Philosophy, or related field with 5+ years AI ethics experience
  • Published research on algorithmic bias or fairness in ML systems
  • Expertise in regulatory frameworks (EU AI Act, NIST RMF, etc.)
  • Proficiency in Python, TensorFlow, and causal inference methods
  • Track record influencing AI policy at governmental or corporate level
  • Experience with large-scale LLM ethics evaluation
  • Exceptional communication skills for technical and non-technical audiences

Required Skills

Machine Learning Ethics Algorithmic Fairness AI Governance Causal Inference Explainable AI Python TensorFlow Policy Development

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