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AI Ethics Research Lead - 2026 Vision

FutureForge Technologies
Austin
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join FutureForge Technologies at the forefront of ethical AI development. As we prepare for the technological landscape of 2026, we seek a visionary AI Ethics Research Lead to shape responsible AI frameworks that balance innovation with human values. You'll collaborate with cross-functional teams to develop governance protocols for next-generation autonomous systems, ensuring alignment with evolving societal expectations.

Our Austin hub offers a dynamic environment where your research will directly influence product roadmaps and industry standards. We provide competitive compensation, comprehensive benefits, and opportunities to present findings at global conferences.

Responsibilities

  • Design and implement ethical AI governance frameworks for 2026 technology deployments
  • Lead multidisciplinary research teams studying AI bias mitigation and transparency
  • Develop audit protocols for autonomous decision-making systems
  • Author white papers and position papers on emerging AI ethics challenges
  • Advocate for ethical considerations in product development lifecycles
  • Partner with policymakers to shape future AI regulatory landscapes
  • Mentor junior researchers on responsible AI methodologies

Qualifications

  • PhD in Computer Science, Ethics, Philosophy, or related field
  • 5+ years researching AI ethics, algorithmic fairness, or responsible AI
  • Published work in top-tier AI ethics or ML conferences
  • Expertise in bias detection techniques and model interpretability
  • Experience with regulatory frameworks (EU AI Act, NIST RMF)
  • Strong background in policy analysis and stakeholder engagement
  • Proficiency in Python and statistical analysis tools
  • Track record of translating complex ethical concepts into actionable guidelines

Required Skills

AI Ethics Machine Learning Governance Algorithmic Bias Policy Analysis Research Methodology Python Statistical Modeling Stakeholder Engagement

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