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AI Ethics Research Lead

Nexus Innovations
Austin
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Join Nexus Innovations at the forefront of ethical AI development as we shape the responsible future of technology. We seek a visionary AI Ethics Research Lead to architect governance frameworks for autonomous systems that will redefine industry standards by 2026. This role offers unparalleled influence in designing AI that aligns with human values while driving innovation across healthcare, finance, and autonomous infrastructure.

You'll collaborate with Nobel laureates and industry pioneers in our Austin-based quantum-secure research facility. We provide comprehensive benefits including equity in our moonshot projects and unlimited learning stipends for emerging tech certifications. Your work will directly impact regulatory policies and set global benchmarks for transparent AI deployment.

Responsibilities

  • Design and implement ethical governance frameworks for autonomous AI systems
  • Lead cross-functional research on bias mitigation in large language models
  • Develop predictive algorithms for AI risk assessment and compliance
  • Partner with UN bodies and tech councils on ethical AI policy development
  • Architect quantum-resistant ethical auditing protocols for next-gen systems
  • Mentor a team of interdisciplinary researchers in philosophy, computer science, and ethics
  • Present findings at global forums like the World Economic Forum and IEEE Ethics Summits

Qualifications

  • PhD in Computer Science, Ethics, Philosophy, or related field with 5+ years AI ethics research
  • Published work in top-tier journals (Nature, Science, or AI Ethics journals)
  • Expertise in EU AI Act, NIST AI Risk Framework, and ISO/IEC 42001 standards
  • Proficiency in Python, TensorFlow, and causal inference modeling
  • Experience with federated learning and differential privacy techniques
  • Track record of influencing AI policy through regulatory testimony or white papers
  • Strong background in cognitive science and human-AI interaction paradigms

Required Skills

AI Ethics Governance Frameworks Risk Assessment Regulatory Compliance Causal Inference Differential Privacy Policy Development Quantum Computing Security

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