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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Research Lead

Nexus Horizons
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join Nexus Horizons at the forefront of shaping humanity's technological future. We're seeking a visionary AI Ethics Research Lead to architect ethical frameworks for next-generation autonomous systems and neural interfaces. This role combines deep technical expertise with philosophical rigor to ensure AI development aligns with human values. You'll lead cross-functional teams in building transparent, accountable, and bias-free AI solutions that serve society's evolving needs.

Our state-of-the-art lab in San Francisco offers unparalleled resources for research and innovation. We provide competitive benefits, flexible work arrangements, and opportunities to publish groundbreaking work in leading journals.

Responsibilities

  • Design and implement ethical governance frameworks for autonomous AI systems
  • Lead interdisciplinary research on bias mitigation in machine learning algorithms
  • Develop audit protocols for neural interface safety and human-AI interaction
  • Collaborate with product teams to embed ethical principles into AI lifecycle
  • Author policy recommendations for regulatory bodies and industry standards
  • Mentor junior researchers in responsible AI methodologies
  • Present findings at international conferences and peer-reviewed publications

Qualifications

  • PhD in Computer Science, Philosophy, or related field with 5+ years' experience
  • Expertise in AI ethics frameworks (e.g., EU AI Act, NIST RMF)
  • Proven track record publishing in top-tier AI ethics journals
  • Strong programming skills in Python with ML framework experience
  • Experience with ethical impact assessments for large-scale AI systems
  • Deep understanding of cognitive science and human-computer interaction
  • Exceptional communication skills for technical and non-technical audiences

Required Skills

AI Ethics Machine Learning Philosophy of Technology Governance Python Research Policy Development

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