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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Ethics Engineer

Nexus AI Solutions
San Francisco
Estimated Salary
USD 185.000 – USD 245.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Join Nexus AI Solutions at the forefront of ethical AI development. We're pioneering responsible AI frameworks for 2026 and beyond, seeking a visionary Senior AI Ethics Engineer to shape the future of machine learning ethics. This role offers the opportunity to influence industry standards while working with cutting-edge AI systems in our state-of-the-art San Francisco headquarters.

As part of our Ethics & Governance team, you'll collaborate with world-class researchers, engineers, and policymakers to develop robust ethical guidelines for autonomous systems, generative AI, and predictive analytics. We offer competitive compensation, comprehensive benefits, and a culture that values innovation with integrity.

Responsibilities

  • Design and implement ethical risk assessment frameworks for AI deployment
  • Develop bias mitigation strategies for large-scale ML models
  • Conduct interdisciplinary research on emerging AI ethical challenges
  • Partner with product teams to embed ethical considerations into AI lifecycle
  • Create audit protocols for AI system fairness and transparency
  • Advocate for ethical AI standards at industry conferences and policy forums
  • Mentor junior engineers on responsible AI development practices

Qualifications

  • Master's degree in Computer Science, Ethics, Philosophy, or related field
  • 5+ years experience in AI/ML development or ethics governance
  • Expertise in fairness metrics and bias detection algorithms
  • Strong understanding of regulatory landscape (EU AI Act, NIST frameworks)
  • Published research in AI ethics or responsible AI
  • Experience with stakeholder engagement in technical ethics discussions
  • Proficiency in Python and ML model evaluation tools
  • Certification in AI Ethics or Governance preferred

Required Skills

AI Ethics Machine Learning Bias Mitigation Governance Frameworks Regulatory Compliance Research Methodology Python Stakeholder Engagement

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