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AI Ethics Research Lead

Neural Horizon Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join Neural Horizon Labs at the forefront of responsible AI innovation. As the AI Ethics Research Lead, you'll architect ethical frameworks for next-generation autonomous systems while shaping industry standards that define the future of human-AI collaboration. We're seeking visionary pioneers to balance technological advancement with moral responsibility in our Austin-based quantum computing hub.

Our interdisciplinary team tackles complex dilemmas at the intersection of machine learning, neuroscience, and philosophy. With competitive benefits including equity in AI patents and sabbatical research grants, you'll drive breakthroughs that prioritize human dignity in the 2026 digital landscape.

Responsibilities

  • Design and implement ethical governance protocols for generative AI systems
  • Lead cross-functional audits of algorithmic bias in autonomous decision-making engines
  • Develop real-time monitoring frameworks for AI-human interaction integrity
  • Collaborate with quantum computing teams to ensure ethical deployment of superintelligent systems
  • Author industry-defining white papers on AI accountability frameworks
  • Mentor junior researchers in applied ethics methodologies
  • Represent the company at global AI ethics summits and regulatory hearings

Qualifications

  • PhD in Philosophy, Computer Science, or Cognitive Science with focus on ethics
  • 5+ years developing ethical AI frameworks for commercial applications
  • Published research in top-tier journals (Nature, Science, or equivalent)
  • Expertise in bias mitigation techniques for neural networks
  • Proficiency in Python and ethical auditing tools (e.g., IBM AI Fairness 360)
  • Experience with regulatory compliance (GDPR, EU AI Act, FTC guidelines)
  • Track record of influencing industry standards through thought leadership

Required Skills

AI Ethics Machine Learning Quantum Computing Algorithmic Bias Regulatory Compliance Philosophy of Technology Python Neural Networks

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