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AI Ethics Research Lead

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Future Labs at the forefront of ethical AI development as we pioneer solutions for 2026's technological landscape. We're seeking an AI Ethics Research Lead to shape responsible AI frameworks that will define the next decade of innovation. This role combines cutting-edge research with real-world impact, working with Fortune 500 partners to deploy ethical AI systems that prioritize human values.

Our interdisciplinary team thrives on collaboration, blending expertise in machine learning, philosophy, and policy. You'll lead research initiatives that address algorithmic bias, transparency, and accountability while mentoring the next generation of AI ethicists. If you're passionate at the intersection of technology and humanity, this is your opportunity to define the future.

Responsibilities

  • Lead cross-functional research initiatives on AI ethics frameworks for 2026 deployment
  • Develop and implement bias detection protocols for autonomous systems
  • Collaborate with product teams to integrate ethical safeguards into AI workflows
  • Author white papers and industry standards for transparent AI governance
  • Present findings at global tech policy forums and academic conferences
  • Mentor junior researchers in ethical AI methodologies
  • Partner with legal teams to ensure compliance with evolving AI regulations

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field (or equivalent experience)
  • 5+ years researching AI ethics or responsible technology deployment
  • Published work on algorithmic fairness or explainable AI systems
  • Experience with regulatory frameworks (EU AI Act, NIST RMF)
  • Proficiency in Python and ML frameworks for bias analysis
  • Strong background in interdisciplinary research methodologies
  • Proven ability to translate complex ethical concepts for technical audiences
  • Track record of influencing corporate AI policy development

Required Skills

AI Ethics Machine Learning Ethics Algorithmic Bias AI Governance Explainable AI AI Policy Research Ethical AI Frameworks Regulatory Compliance Tech Ethics Interdisciplinary Research

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