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Artificial Intelligence 🏢 Full Time ⭐️ Verified

AI Ethics Research Lead (2026)

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join Nexus Innovations at the forefront of ethical AI development as we shape responsible technology for 2026 and beyond. We seek visionary AI Ethics Research Lead to design frameworks ensuring AI systems align with human values, regulatory compliance, and societal benefit. This role requires deep technical expertise combined with philosophical rigor to navigate emerging ethical dilemmas in quantum computing, generative AI, and autonomous systems.

You'll collaborate with cross-functional teams to embed ethical safeguards into AI lifecycles, publish groundbreaking research, and advise on policy development. Our dynamic environment offers unmatched opportunities to influence the future of human-AI coexistence.

Responsibilities

  • Develop comprehensive AI ethics frameworks for next-generation autonomous systems
  • Conduct interdisciplinary research on algorithmic bias mitigation and transparency
  • Partner with engineering teams to implement ethical design principles in AI development
  • Produce thought leadership publications on emerging ethical challenges in quantum-AI integration
  • Advise C-suite on regulatory compliance and ethical risk assessment
  • Lead stakeholder engagements across academia, government, and industry consortia
  • Mentor junior researchers in ethical AI methodologies

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field with 5+ years AI ethics experience
  • Proven track record publishing in top-tier AI ethics journals (e.g., Nature Machine Intelligence)
  • Expertise in regulatory frameworks (EU AI Act, NIST AI RMF)
  • Technical proficiency in ML/AI system architecture and vulnerability assessment
  • Experience with cross-cultural ethical considerations in global deployments
  • Exceptional communication skills for translating complex ethical concepts to technical teams
  • Portfolio demonstrating real-world AI ethics implementation projects

Required Skills

AI Ethics Algorithmic Bias Regulatory Compliance Quantum Computing Ethics Generative AI Governance Philosophy of Technology Risk Assessment Stakeholder Engagement

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