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AI Ethics Research Lead

Nexus Quantum Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Shape the future of artificial intelligence at Nexus Quantum Dynamics. We're seeking visionary AI Ethics Research Leaders to pioneer responsible AI frameworks for 2026 and beyond. Join our interdisciplinary team developing transparent, auditable, and bias-mitigated systems that will define the next generation of intelligent technologies.

Why Join Us? Work at the intersection of cutting-edge AI research and ethical innovation in our state-of-the-art San Francisco lab. Enjoy competitive compensation, flexible work arrangements, and opportunities to publish groundbreaking research in collaboration with Stanford and MIT.

Responsibilities

  • Design and implement ethical AI governance frameworks for autonomous systems
  • Lead cross-functional teams in bias detection and algorithmic fairness audits
  • Develop predictive models for societal impact assessment of AI deployments
  • Collaborate with policymakers on emerging AI regulatory standards
  • Publish peer-reviewed research on AI ethics and transparency methodologies
  • Mentor junior researchers and foster inclusive innovation practices
  • Present findings at global AI ethics summits and industry conferences

Qualifications

  • PhD in Computer Science, Ethics, Philosophy, or related field (or equivalent experience)
  • 5+ years in AI research with demonstrated focus on ethical implications
  • Expertise in fairness metrics, explainable AI (XAI), and bias mitigation techniques
  • Published work in top-tier AI ethics venues (e.g., FAccT, NeurIPS Ethics Workshops)
  • Strong background in policy analysis and regulatory compliance frameworks
  • Experience leading interdisciplinary research teams
  • Proficiency in Python, PyTorch, and causal inference tools

Required Skills

AI Ethics Machine Learning Algorithmic Fairness Explainable AI Policy Analysis Causal Inference Python PyTorch Research Leadership

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