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AI Ethics Research Lead

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Nexus Innovations at the forefront of ethical AI development as we shape the responsible future of artificial intelligence. We're seeking visionary AI Ethics Research Leads to design governance frameworks, audit algorithms for bias, and establish ethical standards for next-generation AI systems. This role bridges cutting-edge technology and moral philosophy, ensuring our innovations serve humanity equitably.

Why Nexus? We're a B-Corporate certified pioneer in quantum computing and neural networks, with 15+ patents in ethical AI. Our San Francisco campus features immersive ethics labs and partners with Stanford's AI Institute. Enjoy flexible remote options, unlimited learning stipends, and health equity programs.

Responsibilities

  • Develop and implement AI ethics governance frameworks for autonomous systems
  • Conduct bias audits on machine learning models using fairness metrics
  • Lead cross-functional workshops on responsible AI deployment
  • Author industry whitepapers on AI ethics policy and regulatory compliance
  • Collaborate with product teams to embed ethical design principles
  • Monitor emerging AI regulations (e.g., EU AI Act, US Algorithmic Accountability Act)
  • Mentor junior researchers in ethics-first AI development

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field with 5+ years' AI ethics experience
  • Published research on algorithmic bias mitigation or fairness in ML
  • Expertise in regulatory frameworks governing AI (GDPR, NIST AI RMF)
  • Proficiency in Python for bias auditing tools (AIF360, Fairlearn)
  • Experience collaborating with product/engineering teams on ethical design
  • Deep understanding of cognitive bias in human-AI interaction
  • Strong track record of translating ethical principles into technical requirements

Required Skills

AI Ethics Machine Learning Governance Algorithmic Bias Regulatory Compliance Python Fairness Metrics Ethical Design AI Policy

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