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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Research Lead

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

Job Description

Join Nexus Future Labs at the forefront of responsible AI development. We're pioneering ethical frameworks for next-generation autonomous systems and seeking a visionary Research Lead to shape the future of human-AI collaboration. This role combines cutting-edge research with real-world impact, working directly with Fortune 500 partners deploying 2026-era AI solutions.

Our San Francisco headquarters features state-of-the-art quantum computing labs and collaborative innovation spaces. You'll lead a cross-functional team of machine learning engineers, philosophers, and policy experts while publishing breakthrough research in top-tier journals.

Responsibilities

  • Design and implement ethical governance frameworks for autonomous systems
  • Lead interdisciplinary research on AI bias mitigation and transparency
  • Develop predictive models for AI societal impact (2026-2030 horizon)
  • Partner with product teams to embed ethical safeguards in AI pipelines
  • Present findings at global AI ethics summits and publish in Nature/AI journals
  • Mentor researchers in emerging AI ethics methodologies
  • Advocate for responsible AI adoption through policy briefings

Qualifications

  • PhD in AI Ethics, Philosophy, Cognitive Science, or related field
  • 5+ years researching AI governance or autonomous system ethics
  • Published work in top-tier AI ethics or ML conferences
  • Expertise in causal inference and fairness metrics
  • Experience with large language model transparency techniques
  • Deep understanding of EU AI Act and NIST AI RMF frameworks
  • Proven ability to translate research into enterprise policy
  • Strong background in participatory design methodologies

Required Skills

AI Ethics Machine Learning Causal Inference Policy Development Quantum Computing Large Language Models Fairness Metrics Participatory Design

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