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AI Ethics Research Lead

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

Job Description

Join Nexus Innovations at the forefront of responsible AI development. We're seeking visionary AI Ethics Research Leads to shape the ethical frameworks that will define 2026 and beyond. This role combines cutting-edge AI research with profound societal impact, ensuring our autonomous systems align with human values.

As a key member of our Future Ethics Lab, you'll pioneer governance models for generative AI, audit algorithmic bias, and develop certification protocols for AI transparency. Collaborate with Nobel laureates and industry pioneers to build the ethical infrastructure for tomorrow's digital ecosystems.

Responsibilities

  • Design and implement AI ethics frameworks for generative models deployed in healthcare and finance sectors
  • Lead cross-functional audits of algorithmic bias in autonomous decision systems
  • Develop industry-standard certification protocols for AI transparency and explainability
  • Publish groundbreaking research in top-tier AI ethics journals and conferences
  • Advocate for ethical AI standards at global policy summits and regulatory bodies
  • Mentor interdisciplinary teams of researchers and engineers in responsible AI development
  • Establish partnerships with academic institutions to advance AI ethics education

Qualifications

  • PhD in Computer Science, Philosophy, Ethics, or related field with 5+ years of AI research experience
  • Published record in algorithmic fairness, explainable AI, or AI governance
  • Expertise in designing ethical frameworks for large language models or autonomous systems
  • Proven ability to translate complex ethical principles into technical specifications
  • Experience collaborating with policymakers and regulatory bodies on AI standards
  • Strong background in machine learning model architecture and deployment
  • Demonstrated leadership in cross-disciplinary research teams

Required Skills

AI Ethics Machine Learning Algorithmic Fairness Explainable AI AI Governance Research Leadership Policy Advocacy Generative Models

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