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AI Ethics Research Lead

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join Nexus Future Labs at the forefront of ethical AI development for 2026. We're seeking a visionary AI Ethics Research Lead to shape responsible AI frameworks for next-generation autonomous systems. You'll collaborate with world-class engineers and policymakers to ensure our innovations align with human values while driving industry standards.

This role offers unparalleled impact in defining how AI evolves responsibly. You'll lead cross-functional teams to develop ethical governance protocols, audit algorithms for bias, and publish groundbreaking research in top-tier journals. Our San Francisco headquarters provides cutting-edge resources and a dynamic environment where your work directly influences global tech policy.

Responsibilities

  • Design and implement ethical AI governance frameworks for 2026 autonomous systems
  • Lead bias audits and fairness assessments across machine learning pipelines
  • Collaborate with policy teams to shape emerging AI legislation and standards
  • Develop transparent explainability protocols for complex neural networks
  • Coordinate international research partnerships on AI ethics and safety
  • Present findings to industry regulators and executive stakeholders
  • Mentor junior researchers in responsible AI methodologies

Qualifications

  • PhD in Computer Science, Ethics, Philosophy, or related field with 5+ years AI ethics experience
  • Proven track record publishing in top-tier AI ethics journals (e.g., Nature Machine Intelligence)
  • Expertise in bias mitigation techniques for large-scale ML systems
  • Deep understanding of global AI regulatory landscapes (EU AI Act, NIST frameworks)
  • Experience leading cross-functional teams with technical and non-technical stakeholders
  • Strong background in explainable AI (XAI) and fairness metrics
  • Demonstrated ability to translate complex ethical concepts into actionable guidelines

Required Skills

AI Ethics Machine Learning Governance Algorithmic Bias Auditing Explainable AI Policy Development Research Leadership Ethical Framework Design Regulatory Compliance

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