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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Research Lead

Nexus Dynamics
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Join Nexus Dynamics at the forefront of ethical AI development. As we pioneer solutions for 2026's technological landscape, we seek a visionary AI Ethics Research Lead to shape responsible innovation. This role bridges cutting-edge AI research with real-world ethical frameworks, ensuring our technologies empower humanity while mitigating risks. You'll collaborate with cross-functional teams to develop governance protocols, audit AI systems for bias, and publish groundbreaking research in partnership with leading academic institutions. Our Austin hub offers a dynamic environment where your expertise will directly influence how society navigates the AI revolution.

Responsibilities

  • Design and implement ethical AI governance frameworks for autonomous systems deployed in 2026
  • Lead bias audits and risk assessments for large-scale machine learning models
  • Develop industry standards for transparent AI decision-making processes
  • Coordinate with product teams to embed ethical safeguards into development lifecycles
  • Author peer-reviewed research on AI ethics and publish in leading journals
  • Mentor cross-functional teams on ethical AI principles and compliance requirements
  • Represent the company at global forums on responsible AI adoption

Qualifications

  • PhD in Computer Science, Philosophy, Ethics, or related field (or equivalent experience)
  • 5+ years researching AI ethics, bias mitigation, or responsible AI deployment
  • Expertise in regulatory frameworks (EU AI Act, NIST AI RMF)
  • Strong background in machine learning and neural network architectures
  • Proven track record of publishing in AI ethics or technology ethics journals
  • Experience leading cross-functional ethical AI initiatives in tech environments
  • Exceptional analytical skills for complex ethical problem-solving
  • Deep understanding of societal implications of advanced AI systems

Required Skills

AI Ethics Machine Learning Governance Risk Assessment Bias Mitigation Regulatory Compliance Research Leadership Neural Networks

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