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AI Ethics Research Lead

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

Job Description

Join Nexus AI Labs at the forefront of shaping humanity's technological future. We're seeking a visionary AI Ethics Research Lead to develop responsible AI frameworks for 2026 and beyond. In this pivotal role, you'll define ethical standards for autonomous systems, ensuring alignment with human values while driving innovation in machine learning and neural networks.

Our Austin-based team operates at the intersection of cutting-edge AI research and ethical governance. You'll collaborate with Nobel laureates and industry pioneers to pioneer solutions for algorithmic bias mitigation, explainable AI (XAI), and quantum-secure machine learning protocols. This position offers unparalleled impact in defining how AI shapes our collective future.

Responsibilities

  • Design and implement ethical AI governance frameworks for autonomous systems
  • Lead cross-functional research on algorithmic bias mitigation and fairness metrics
  • Develop quantum-resistant ML protocols for 2026-era infrastructure
  • Collaborate with policy makers on AI regulatory frameworks
  • Author breakthrough research papers on explainable AI and human-AI collaboration
  • Oversee ethical audits of production AI systems
  • Present findings at global AI ethics summits

Qualifications

  • PhD in Computer Science, Philosophy, or Ethics with AI specialization
  • 5+ years experience in AI research with focus on ethical implications
  • Expertise in machine learning fairness metrics (e.g., disparate impact, equal opportunity)
  • Published work in top-tier AI ethics journals (NeurIPS, ICLR, etc.)
  • Deep understanding of quantum computing's impact on AI security
  • Experience with regulatory frameworks (EU AI Act, NIST AI RMF)
  • Exceptional communication skills for technical and non-technical audiences

Required Skills

AI Ethics Machine Learning Quantum Computing Explainable AI Algorithmic Bias AI Governance Neural Networks Research Methodology

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