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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Research Lead

Nexus Innovations
Austin
Estimated Salary
USD 175.000 – USD 225.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join Nexus Innovations at the forefront of responsible AI development. We're seeking a visionary AI Ethics Research Lead to shape the future of ethical technology deployment. As a key member of our AI Governance team, you'll pioneer frameworks that ensure fairness, transparency, and accountability in autonomous systems. This hybrid role combines cutting-edge research with practical implementation in a dynamic, mission-driven environment.

Our Austin hub offers state-of-the-art facilities and collaborative spaces where you'll work alongside world-class data scientists, engineers, and policy experts. You'll have direct impact on product development cycles while publishing groundbreaking research in partnership with leading academic institutions.

Responsibilities

  • Design and implement ethical AI frameworks for autonomous systems and predictive algorithms
  • Conduct bias audits and fairness assessments across machine learning models
  • Develop governance protocols for AI deployment in regulated industries
  • Lead cross-functional working groups on algorithmic transparency initiatives
  • Author position papers and industry standards for ethical AI adoption
  • Mentor junior researchers in responsible AI methodologies
  • Collaborate with legal teams on compliance with emerging AI regulations

Qualifications

  • PhD in Ethics, Computer Science, Philosophy, or related field with 5+ years AI research experience
  • Expertise in fairness metrics, bias mitigation techniques, and algorithmic accountability
  • Published record in top-tier AI ethics journals (e.g., FAccT, NeurIPS Ethics Workshop)
  • Strong programming skills in Python/R with experience in ML libraries (TensorFlow, PyTorch)
  • Deep understanding of global AI regulatory landscapes (EU AI Act, NIST frameworks)
  • Proven ability to translate ethical principles into technical specifications
  • Experience working with interdisciplinary teams in tech or policy environments

Required Skills

AI Ethics Machine Learning Algorithmic Fairness Governance Frameworks Python Research Methodology Regulatory Compliance Bias Mitigation

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