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AI Ethics Research Lead

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

Job Description

Join NexusAI Solutions at the forefront of responsible AI development as we shape the ethical frameworks for 2026's autonomous systems. We're seeking an AI Ethics Research Lead to pioneer governance models that balance innovation with human-centric values. This role bridges cutting-edge machine learning research with real-world policy implementation, ensuring our AI systems align with evolving societal norms. You'll collaborate with cross-functional teams to embed ethical safeguards into products serving millions globally.

Our ideal candidate thrives in ambiguity, possesses deep philosophical grounding, and can translate complex ethical principles into actionable engineering guidelines. This position offers unparalleled influence in defining the ethical boundaries of next-generation AI.

Responsibilities

  • Develop and implement AI ethics frameworks aligned with emerging global regulations
  • Lead interdisciplinary research on bias mitigation and fairness in ML algorithms
  • Design audit protocols for autonomous decision-making systems
  • Advocate for ethical AI principles through stakeholder engagement and thought leadership
  • Establish cross-functional ethics review boards for high-impact AI deployments
  • Pioneer quantitative metrics for evaluating AI system transparency and accountability
  • Author position papers on AI ethics for regulatory bodies and industry consortiums

Qualifications

  • PhD in Philosophy, Ethics, Computer Science, or related field (or equivalent experience)
  • 5+ years researching AI ethics with published work in top-tier journals
  • Expertise in ML fairness frameworks (e.g., IBM AI Fairness 360, Google's What-If Tool)
  • Experience developing AI governance policies for Fortune 500 companies
  • Strong background in regulatory compliance (GDPR, EU AI Act, NIST AI RMF)
  • Proficiency in Python for algorithmic bias analysis
  • Exceptional communication skills for translating technical ethics to non-technical audiences

Required Skills

AI Ethics Machine Learning Governance Philosophy Regulatory Compliance Bias Mitigation Quantitative Ethics Stakeholder Engagement

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