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Artificial Intelligence 🏢 Full Time ⭐️ Verified

AI Ethics Engineer

Nexus Innovations
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus Innovations at the forefront of responsible AI development. As we pioneer 2026's most advanced autonomous systems, we seek an AI Ethics Engineer to ensure our technologies align with humanity's best interests. You'll architect ethical frameworks, audit algorithmic decision-making, and collaborate with quantum computing teams to prevent bias in next-gen neural networks. This role combines philosophical rigor with technical innovation to shape AI that serves society equitably.

Responsibilities

  • Design and implement ethical governance frameworks for LLMs and autonomous systems
  • Conduct algorithmic bias audits across neural network architectures
  • Develop real-time ethical monitoring systems for deployed AI models
  • Partner with quantum computing teams to address ethical implications of qubit-based AI
  • Create transparency protocols for explainable AI (XAI) implementations
  • Lead stakeholder workshops on responsible AI deployment strategies
  • Research emergent ethical challenges in post-2025 AI capabilities

Qualifications

  • Master's degree in Computer Science, Philosophy, or Ethics with AI specialization
  • 3+ years developing ethical AI frameworks or bias mitigation systems
  • Expertise in fairness metrics (e.g., disparate impact ratio, equal opportunity difference)
  • Proficiency in Python and ML frameworks (TensorFlow/PyTorch) for ethical audits
  • Deep understanding of global AI regulations (EU AI Act, NIST frameworks)
  • Experience with quantum computing ethics or post-quantum cryptography
  • Published research in AI ethics or responsible AI deployment
  • Strong communication skills for translating technical ethics to non-technical audiences

Required Skills

AI Ethics Machine Learning Algorithmic Auditing Quantum Computing Ethics Explainable AI Regulatory Compliance Bias Mitigation Python TensorFlow PyTorch

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