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2026 AI Ethics Research Lead

Nexus Dynamics
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Nexus Dynamics at the forefront of responsible AI development. We seek a visionary 2026 AI Ethics Research Lead to shape the ethical frameworks that will define tomorrow's technology landscape. This pivotal role bridges cutting-edge AI innovation with human-centric principles, ensuring our autonomous systems align with societal values while driving industry breakthroughs.

As part of our Austin-based innovation hub, you'll lead cross-functional teams in developing preemptive governance models, conduct bias audits for next-gen neural networks, and publish seminal research in partnership with MIT and Stanford's ethics labs. The ideal candidate thrives at the intersection of technology philosophy and practical implementation.

Responsibilities

  • Design and implement ethical governance frameworks for 2026-level autonomous systems
  • Lead bias audits and fairness assessments for generative AI models
  • Collaborate with product teams to embed ethical safeguards in AI development lifecycles
  • Produce white papers and industry standards for transparent AI decision-making
  • Mentor junior researchers on responsible AI methodologies
  • Partner with regulatory bodies to shape future AI legislation
  • Develop quantifiable metrics for algorithmic accountability

Qualifications

  • PhD in Computer Science, Philosophy, or Ethics with 5+ years AI research experience
  • Published work in top-tier journals (Nature, NeurIPS, ACM FAccT) on algorithmic fairness
  • Expertise in bias mitigation techniques for large language models
  • Proficiency in Python and ML frameworks (PyTorch, TensorFlow)
  • Experience with regulatory frameworks (EU AI Act, NIST RMF)
  • Demonstrated ability to translate complex ethical concepts into technical requirements
  • Strong background in participatory design methodologies with diverse stakeholder groups

Required Skills

AI Ethics Machine Learning Governance Bias Mitigation Regulatory Compliance Research Leadership Python Philosophy of Technology

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