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AI Ethics Lead

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
11 Juli 2026
Deadline
11 Jul 2027

Job Description

Join Nexus Future Labs at the forefront of ethical AI development. We're seeking visionary AI Ethics Leads to shape responsible innovation for 2026 and beyond. This role combines technical expertise with philosophical rigor to ensure AI systems align with human values. You'll collaborate with quantum computing teams, neuroscientists, and policymakers to pioneer frameworks that address bias, transparency, and existential risks. Our culture thrives on intellectual curiosity and ethical courage – perfect for those who want to build the future they believe in.

Responsibilities

  • Develop and implement ethical governance frameworks for AI systems deployed in healthcare and autonomous sectors
  • Lead cross-functional audits of machine learning models using adversarial testing and fairness metrics
  • Design human-AI interaction protocols ensuring accountability in high-stakes decision-making
  • Advocate for ethical AI principles through white papers, industry forums, and regulatory consultations
  • Mentor interdisciplinary teams in ethical design thinking and responsible innovation practices
  • Monitor emerging risks from quantum AI and neuromorphic computing applications
  • Establish stakeholder dialogues between developers, ethicists, and affected communities

Qualifications

  • PhD or equivalent experience in AI Ethics, Philosophy of Technology, or related field
  • 5+ years developing ethical frameworks for deployed AI systems
  • Deep understanding of EU AI Act, NIST RMF, and emerging global regulations
  • Proficiency in counterfactual fairness algorithms and explainable AI techniques
  • Experience with neuro-symbolic AI and hybrid human-machine systems
  • Published research on AI alignment or value alignment problems
  • Strong background in applied ethics (utilitarianism, deontology, virtue ethics)
  • Exceptional communication skills for technical and non-technical audiences

Required Skills

AI Ethics Governance Explainable AI Bias Mitigation Regulatory Compliance Philosophy of Technology Neuro-Symbolic AI Stakeholder Engagement

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