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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Lead Engineer

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

Job Description

Join Nexus Innovations at the forefront of responsible AI development. We're seeking a visionary AI Ethics Lead Engineer to shape ethical frameworks for next-generation autonomous systems and predictive analytics. This pivotal role bridges cutting-edge AI innovation with human-centric governance, ensuring our 2026 product roadmap aligns with global ethical standards and societal impact.

As a key member of our Future Technologies Division, you'll collaborate with quantum computing researchers, neuromorphic engineers, and policy experts to embed ethical safeguards into AI lifecycles. Enjoy hybrid work arrangements, unlimited learning stipends, and equity in a Series B startup backed by top-tier Silicon Valley investors.

Responsibilities

  • Design and implement ethical risk assessment protocols for generative AI and autonomous decision systems
  • Lead cross-functional ethics committees with legal, engineering, and social science stakeholders
  • Develop bias mitigation algorithms for predictive modeling in healthcare and financial services
  • Create audit frameworks for AI explainability and transparency compliance (GDPR, EU AI Act)
  • Author whitepapers on AI ethics for IEEE and ACM journals
  • Advocate for ethical AI standards at international tech policy forums

Qualifications

  • PhD in Machine Learning, Ethics, or Philosophy with 5+ years applied AI ethics experience
  • Published research on algorithmic bias mitigation or fairness in ML systems
  • Proficiency in Python with experience implementing ethical auditing tools (AIF360, Fairlearn)
  • Deep understanding of global AI regulations (EU AI Act, NIST RMF, ISO 42001)
  • Experience in regulated industries (healthcare, finance, or defense)
  • Strong background in participatory design methodologies with diverse stakeholder groups

Required Skills

AI Ethics Machine Learning Governance Algorithmic Bias Mitigation Regulatory Compliance Explainable AI Participatory Design Python AIF360

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