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AI Ethics Research Lead

Nexus Innovations Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus Innovations Inc. at the forefront of ethical AI development. We're seeking a visionary AI Ethics Research Lead to shape the responsible future of artificial intelligence. As a pioneer in 2026 technology, you'll lead groundbreaking research ensuring AI systems align with human values while driving innovation.

Our dynamic team collaborates with Fortune 500 partners to develop next-gen AI frameworks. This role offers unparalleled opportunities to publish research, influence industry standards, and mentor emerging talent in a culture that prizes intellectual curiosity and ethical integrity.

Enjoy competitive compensation, comprehensive benefits, and the chance to work on projects that will define the next decade of technological progress.

Responsibilities

  • Design and implement ethical AI governance frameworks for autonomous systems
  • Lead cross-functional research teams to identify bias mitigation strategies in machine learning models
  • Develop predictive algorithms for AI system transparency and explainability
  • Collaborate with policymakers to shape emerging AI regulatory landscapes
  • Author white papers and peer-reviewed publications on responsible AI deployment
  • Conduct ethics audits for enterprise-scale AI implementations
  • Mentor junior researchers and ethics fellows in emerging technologies

Qualifications

  • PhD in Computer Science, Ethics, Philosophy, or related field with 5+ years AI ethics experience
  • Published research in top-tier journals on algorithmic fairness or responsible AI
  • Expertise in regulatory frameworks (EU AI Act, NIST AI RMF)
  • Proficiency in Python, PyTorch, and explainable AI tools
  • Demonstrated experience with large-scale AI system deployments
  • Strong background in moral philosophy and technology ethics
  • Exceptional communication skills for technical and non-technical stakeholders

Required Skills

AI Ethics Machine Learning Algorithmic Bias Explainable AI Regulatory Compliance PyTorch Research Methodology Policy Development

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