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AI Ethics Research Lead

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Join Nexus Future Labs at the forefront of ethical AI development as we shape the responsible frameworks for 2026 and beyond. We're seeking a visionary AI Ethics Research Lead to architect governance systems that balance innovation with human values. In this pivotal role, you'll collaborate with quantum computing teams and neuro-symbolic AI specialists to audit algorithmic bias while developing next-generation transparency protocols. Your work will directly influence how autonomous systems interact with society in the coming decade.

We offer unparalleled resources including access to our quantum simulation lab and partnership with MIT's Future of Humanity Institute. This hybrid role combines deep technical rigor with philosophical inquiry, perfect for candidates who thrive at the intersection of technology and ethics.

Responsibilities

  • Design and implement ethical audit frameworks for generative AI systems deployed in critical infrastructure
  • Lead cross-functional working groups on algorithmic fairness and explainability standards
  • Develop bias mitigation protocols for neural networks processing sensitive socioeconomic data
  • Author position papers on AI governance for international policy summits (2026 UN Tech Forum)
  • Partner with quantum computing teams to assess ethical implications of hybrid AI-quantum algorithms
  • Mentor junior researchers in applied ethics methodologies and responsible innovation practices

Qualifications

  • PhD in Computer Science, Philosophy, or related field with focus on AI ethics
  • 5+ years experience developing ethical frameworks for deployed AI systems
  • Published research on algorithmic bias mitigation or transparency mechanisms
  • Expertise in regulatory landscape (EU AI Act, NIST AI RMF, proposed US frameworks)
  • Strong programming skills (Python, TensorFlow) for implementing ethical testing protocols
  • Experience collaborating with neuroscientists or cognitive psychologists on human-AI interaction
  • Proven ability to translate complex ethical concepts into engineering requirements

Required Skills

AI Ethics Machine Learning Governance Algorithmic Bias Mitigation Quantum Computing Ethics Policy Development Python TensorFlow Explainable AI Regulatory Compliance

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