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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Research Lead

Nexus Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Labs at the forefront of ethical AI development as we shape responsible autonomous systems for 2026. We're pioneering frameworks that ensure AI aligns with human values while driving innovation across industries. Our interdisciplinary team combines machine learning, philosophy, and policy to solve complex ethical dilemmas before they emerge.

This role offers unparalleled opportunity to influence global AI standards while working with Fortune 500 partners in healthcare, finance, and autonomous technology. You'll collaborate with world-class researchers and contribute to open-source initiatives that will define the next decade of artificial intelligence.

Responsibilities

  • Design and implement ethical governance frameworks for generative AI systems
  • Lead cross-functional audits of machine learning models for bias and fairness
  • Develop predictive risk assessment tools for emerging AI threats
  • Partner with product teams to embed ethical principles into AI lifecycle
  • Publish research in peer-reviewed journals and industry whitepapers
  • Mentor junior researchers in responsible AI methodologies
  • Represent the company at global AI ethics conferences and policy forums

Qualifications

  • PhD in Computer Science, Ethics, Philosophy, or related field (MS with exceptional experience considered)
  • 5+ years in AI research with demonstrated focus on ethical implications
  • Expertise in fairness, accountability, and transparency (FAT) frameworks
  • Published work in top-tier AI ethics conferences (e.g., AIES, FAccT)
  • Strong programming skills in Python and ML frameworks (PyTorch/TensorFlow)
  • Experience with regulatory landscapes (EU AI Act, NIST AI RMF)
  • Ability to translate complex ethical concepts for technical and non-technical stakeholders

Required Skills

AI Ethics Machine Learning Fairness Algorithms Governance Frameworks Policy Development Research Methodology Python PyTorch TensorFlow NIST AI RMF EU AI Act

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