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AI Ethics Research Lead

Nexus Future Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Join Nexus Future Labs at the forefront of shaping responsible AI for 2026. We're seeking an AI Ethics Research Lead to architect ethical frameworks for next-generation autonomous systems. In this pivotal role, you'll collaborate with quantum computing engineers and neuroscientists to develop governance protocols that balance innovation with human values. Our Austin campus offers unparalleled resources including a 50-qubit quantum processor and neuro-ethical simulation labs.

What You'll Achieve:

  • Design auditable ethical algorithms for autonomous decision-making systems
  • Lead cross-disciplinary teams of ethicists, data scientists, and policy experts
  • Publish groundbreaking research in Nature AI and IEEE Ethics journals
  • Shape industry standards through our partnership with the Global AI Governance Council

Responsibilities

  • Develop proprietary ethical scoring systems for AI behavior validation
  • Conduct adversarial testing on autonomous systems to identify ethical vulnerabilities
  • Create real-time bias mitigation protocols for high-stakes AI applications
  • Author white papers on quantum ethics and neuro-ethical interfaces
  • Coordinate with regulatory bodies to shape 2026 AI compliance frameworks
  • Mentor a team of 5+ ethics researchers and junior scientists

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or Cognitive Neuroscience
  • 5+ years leading AI ethics initiatives at Fortune 500 or FAANG companies
  • Published research in top-tier journals (Nature, Science, or equivalent)
  • Expertise in quantum machine learning and neuromorphic computing
  • Proficiency in Python, TensorFlow Ethics Toolkit, and causal inference modeling
  • Experience testifying before congressional technology committees

Required Skills

AI Ethics Quantum Computing Neuroethics Governance Causal Inference Python TensorFlow Policy Development Autonomous Systems

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