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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Engineer - 2026 Vision

Nexus Futures Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 220.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join Nexus Futures at the forefront of ethical AI development. We're seeking a visionary AI Ethics Engineer to shape responsible AI systems for 2026 and beyond. This role bridges cutting-edge technology with human-centered design, ensuring our innovations align with global ethical standards while driving competitive advantage. You'll collaborate with world-class researchers, engineers, and policymakers to embed fairness, transparency, and accountability into AI lifecycles. If you're passionate about building a better digital future through ethical technology, this is your moment.

Responsibilities

  • Design and implement ethical AI frameworks for autonomous systems and decision-making algorithms
  • Conduct bias audits and fairness assessments across machine learning pipelines
  • Develop governance protocols for AI deployment in regulated industries
  • Create explainability methods for complex neural networks and generative models
  • Partner with legal teams to ensure compliance with evolving AI regulations
  • Lead stakeholder workshops to align technical solutions with ethical priorities
  • Research emerging threats in AI safety and propose mitigation strategies

Qualifications

  • Master's degree in Computer Science, Ethics, Philosophy, or related field (PhD preferred)
  • 3+ years in AI development with demonstrated ethical integration experience
  • Expertise in fairness metrics, adversarial testing, and bias mitigation techniques
  • Strong programming skills in Python and frameworks like TensorFlow/PyTorch
  • Published work in AI ethics or responsible technology (conference papers or journals)
  • Experience with regulatory frameworks (EU AI Act, NIST AI RMF, etc.)
  • Exceptional communication skills for translating technical concepts to non-technical audiences

Required Skills

AI Ethics Machine Learning Bias Mitigation Explainable AI Governance Python TensorFlow Regulatory Compliance

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