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AI Ethics Research Lead

Nexus AI Solutions
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join Nexus AI Solutions at the forefront of responsible AI development. We're seeking an AI Ethics Research Lead to shape the ethical frameworks for autonomous systems in 2026. This role bridges cutting-edge AI innovation with societal impact, ensuring our technologies align with human values. You'll lead cross-functional teams to develop auditable, transparent AI solutions while influencing industry standards.

Why Nexus AI? We're building the ethical infrastructure for tomorrow's AI ecosystem. Our Austin hub offers collaborative spaces, dedicated research labs, and partnerships with global tech leaders. Enjoy competitive benefits including equity, flexible work options, and continuous learning stipends.

Responsibilities

  • Design and implement ethical frameworks for autonomous systems and generative AI models
  • Lead cross-functional teams in auditing AI algorithms for bias and fairness
  • Develop industry standards for AI transparency and explainability
  • Conduct research on societal impact of emerging AI technologies
  • Collaborate with policymakers to shape regulatory guidelines
  • Mentor junior researchers and publish findings in peer-reviewed journals
  • Interface with product teams to integrate ethical safeguards into development lifecycles

Qualifications

  • PhD in Computer Science, Ethics, Philosophy, or related field with 5+ years AI research experience
  • Proven track record in developing AI ethics frameworks or responsible AI guidelines
  • Expertise in bias detection algorithms and fairness metrics for ML systems
  • Strong background in regulatory compliance (GDPR, EU AI Act, NIST frameworks)
  • Publication record at top-tier AI ethics conferences (NeurIPS, ICML, FAccT)
  • Experience leading technical teams and managing research budgets
  • Deep understanding of quantum computing's ethical implications
  • Exceptional communication skills for translating technical concepts to diverse stakeholders

Required Skills

AI Ethics Machine Learning Quantum Computing Regulatory Compliance Bias Mitigation Research Leadership Explainable AI Policy Development

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