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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Research Lead

FutureForge Dynamics
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Shape the ethical frontier of artificial intelligence at FutureForge Dynamics. We're seeking a visionary AI Ethics Research Lead to define responsible AI frameworks for 2026 and beyond. Join our interdisciplinary team at the intersection of technology, philosophy, and policy to ensure AI systems advance humanity while mitigating existential risks. This role offers unparalleled impact in shaping global AI governance standards.

As a pioneer in the field, you'll collaborate with Fortune 500 partners, publish groundbreaking research, and mentor the next generation of AI ethicists. Our Austin campus features cutting-edge quantum computing labs and dedicated ethics incubators. Enjoy competitive equity packages, flexible hybrid work, and sabbatical programs for deep-dive research.

Responsibilities

  • Develop and implement AI ethics frameworks for autonomous systems and generative AI
  • Lead cross-functional teams in bias auditing and fairness algorithm design
  • Produce whitepapers and policy recommendations for regulatory bodies
  • Establish ethical guidelines for quantum AI integration projects
  • Conduct scenario planning for AI alignment and control challenges
  • Mentor junior researchers in applied ethics methodologies
  • Partner with UN agencies on global AI governance initiatives

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field with AI focus
  • 5+ years experience in AI governance or responsible tech development
  • Published research in top-tier ethics/ML conferences (NeurIPS, FAccT)
  • Expertise in bias mitigation and algorithmic transparency techniques
  • Deep understanding of existential risk frameworks and long-term AI safety
  • Experience advising governmental or multinational organizations
  • Strong programming skills (Python/R) for ethics auditing tools

Required Skills

AI Ethics Algorithmic Fairness Quantum AI Policy Development Bias Mitigation Risk Assessment Governance Frameworks Research Methodology Machine Learning Ethics

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