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AI Ethics Research Lead

InnovateTomorrow Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

Join our pioneering team at InnovateTomorrow Inc. to shape the ethical frontier of artificial intelligence. As AI Ethics Research Lead, you'll architect responsible frameworks that define how humanity coexists with intelligent systems. This role blends technical rigor with philosophical depth, ensuring our AI solutions advance society while safeguarding human dignity.

We're seeking visionary thinkers who thrive at the intersection of technology and ethics. You'll collaborate with world-class engineers, policymakers, and social scientists to develop auditable, bias-resistant AI architectures. Your work will directly influence industry standards and regulatory frameworks, making tangible impact on billions of lives.

Responsibilities

  • Design and implement ethical governance frameworks for autonomous systems
  • Lead cross-functional audits of AI models for fairness, transparency, and accountability
  • Develop bias mitigation protocols for high-stakes decision-making algorithms
  • Produce actionable research papers on AI ethics for academic and industry audiences
  • Advise C-suite executives on ethical AI deployment strategies
  • Represent the company at international AI ethics summits and regulatory hearings
  • Mentor junior researchers in responsible AI methodologies

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field (or equivalent experience)
  • 5+ years in AI ethics, algorithmic auditing, or responsible AI development
  • Published research in top-tier journals/conferences on AI ethics or fairness
  • Expertise in bias detection tools (e.g., IBM AI Fairness 360, Google What-If Tool)
  • Deep understanding of global AI regulations (EU AI Act, NIST frameworks)
  • Exceptional communication skills for translating complex concepts to diverse stakeholders
  • Portfolio demonstrating ethical AI implementations in production systems

Required Skills

AI Ethics Algorithmic Auditing Bias Mitigation Machine Learning Governance Responsible AI Ethical Framework Design Regulatory Compliance Research Methodology

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