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AI Ethics Research Lead

Nexus Futuristics
Austin
Estimated Salary
USD 190.000 – USD 280.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Shape the ethical frontier of artificial intelligence at Nexus Futuristics. We're seeking a visionary AI Ethics Research Lead to define responsible AI frameworks for 2026 and beyond. Join our multidisciplinary team in Austin, TX, where cutting-edge technology meets human-centered design. You'll pioneer governance models that balance innovation with societal impact, working directly with Fortune 500 partners deploying next-generation AI systems. This role offers unparalleled influence in shaping the future of ethical technology and includes competitive equity, comprehensive benefits, and flexible work arrangements.

Responsibilities

  • Develop and implement ethical AI governance frameworks for autonomous systems and generative AI
  • Lead cross-functional research initiatives on bias mitigation and algorithmic fairness
  • Collaborate with engineering teams to embed ethical safeguards into AI development pipelines
  • Author industry whitepapers and policy recommendations for regulatory bodies
  • Conduct audits of AI systems for compliance with emerging ethical standards
  • Mentor junior researchers in ethical AI methodologies and responsible innovation practices

Qualifications

  • PhD in Computer Science, Ethics, Philosophy, or related field with 5+ years of AI ethics research
  • Published work in top-tier AI ethics conferences (e.g., FAccT, AAAI Ethics Track)
  • Experience implementing ethical AI frameworks in production environments
  • Expertise in bias detection techniques and fairness metrics for machine learning
  • Strong background in policy development and regulatory compliance for AI systems
  • Proficiency in Python/R for algorithmic auditing and bias simulation
  • Exceptional communication skills for translating complex ethical concepts to technical teams

Required Skills

AI Ethics Machine Learning Governance Algorithmic Auditing Policy Development Bias Mitigation Responsible AI Regulatory Compliance Research Methodology

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