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AI Ethics Research Lead

Nexus Future Labs
Austin
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Future Labs at the forefront of ethical AI development as we shape the technological landscape of 2026. We're seeking a visionary AI Ethics Research Lead to design responsible frameworks for next-generation autonomous systems. This role bridges cutting-edge machine learning with human-centric values, ensuring our innovations advance society while safeguarding ethical boundaries.

You'll lead groundbreaking research initiatives in partnership with MIT, Stanford, and UN Global Pulse, developing governance protocols that will define industry standards. Our Austin campus features state-of-the-art ethics simulation labs where you'll test real-world scenarios before deployment. This is your chance to influence how humanity interacts with artificial intelligence for decades to come.

Responsibilities

  • Design and implement ethical frameworks for autonomous decision-making systems
  • Lead cross-functional research teams studying AI bias mitigation and transparency
  • Develop predictive models for long-term societal impacts of advanced AI
  • Collaborate with UN bodies on global AI governance policy recommendations
  • Establish audit protocols for algorithmic accountability in high-stakes applications
  • Pioneer 'ethical stress testing' methodologies for AI safety validation
  • Author white papers cited in international tech policy summits

Qualifications

  • PhD in AI Ethics, Philosophy of Technology, or Computational Social Science
  • 8+ years researching algorithmic bias or machine learning governance
  • Published work in Nature Machine Intelligence or top-tier ethics journals
  • Experience with UN/IEEE AI ethics standards development
  • Expertise in causal inference and fairness-aware ML techniques
  • Demonstrated ability to translate complex ethics for technical teams
  • Security clearance for national AI safety initiatives preferred

Required Skills

AI Ethics Machine Learning Governance Algorithmic Bias Causal Inference Policy Development Futurism Human-Centered AI Risk Assessment

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