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Information Technology 🏢 Full Time ⭐️ Verified

Lead AI Ethicist

NeuroSync Technologies
San Francisco
Estimated Salary
USD 185.000 – USD 275.000
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Join NeuroSync Technologies as we pioneer the next frontier of human-AI symbiosis. As our Lead AI Ethicist, you'll architect the moral framework for systems that will reshape industries by 2026. We're seeking a visionary who can translate cutting-edge AI capabilities into responsible, equitable solutions that empower humanity. Work alongside Nobel laureates and industry disruptors in our state-of-the-art quantum-enabled campus.

Why NeuroSync? We're not just building technology—we're engineering the ethical DNA of tomorrow. Our teams develop neural interfaces that enhance human cognition while ensuring absolute privacy and agency. This role directly influences how 500M+ users interact with AI by 2026.

Responsibilities

  • Design and implement ethical governance frameworks for generative AI systems
  • Conduct bias audits and fairness assessments across machine learning pipelines
  • Develop real-time ethical monitoring tools for deployed AI solutions
  • Collaborate with product teams to embed ethical principles into AI lifecycle
  • Lead cross-functional committees on responsible AI deployment
  • Proactively identify emerging ethical risks in AI research and development
  • Create industry standards for human-AI interaction protocols
  • Advocate for ethical AI adoption at global tech summits

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field (or equivalent experience)
  • 5+ years developing AI ethics frameworks for large-scale systems
  • Expertise in bias mitigation techniques for deep learning models
  • Published research on algorithmic transparency and explainability
  • Experience with international AI regulatory landscapes (EU AI Act, NIST frameworks)
  • Strong background in cognitive science and human-computer interaction
  • Ability to translate complex ethical concepts into actionable technical guidelines
  • Proven track record of influencing AI product roadmaps

Required Skills

AI Ethics Machine Learning Governance Risk Management Policy Development Cognitive Science Quantum Computing Ethics Regulatory Compliance

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