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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Engineer

Nexus Innovations
San Francisco
Estimated Salary
USD 120.000 – USD 180.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Shape the future of artificial intelligence at Nexus Innovations. We're seeking an AI Ethics Engineer to build responsible AI frameworks that align with 2026's evolving technological landscape. Join our multidisciplinary team to ensure our AI systems prioritize human values, fairness, and transparency while driving breakthrough innovations.

Why Nexus? We're pioneering the next generation of ethical AI solutions, partnering with Fortune 500 companies to redefine industry standards. Our San Francisco hub offers cutting-edge resources and a culture where your work directly impacts global tech governance.

Responsibilities

  • Design and implement bias mitigation algorithms for ML models
  • Develop ethical AI governance frameworks aligned with emerging regulations
  • Conduct algorithmic audits and impact assessments for high-stakes AI systems
  • Collaborate with product teams to embed ethical safeguards into AI lifecycle
  • Lead research on emerging AI ethics challenges (quantum computing implications, synthetic media)
  • Create transparency documentation for AI decision-making processes
  • Advocate for responsible AI adoption across stakeholder groups

Qualifications

  • MSc/PhD in Computer Science, Ethics, Philosophy, or related field
  • 3+ years in AI governance, ML ethics, or responsible tech implementation
  • Proficiency with bias detection tools (IBM Fairness 360, Google's What-If Tool)
  • Experience with regulatory frameworks (EU AI Act, NIST AI RMF)
  • Strong background in statistical analysis and causal inference
  • Published work in AI ethics or tech ethics journals preferred
  • Ability to translate complex ethical concepts into technical requirements

Required Skills

AI Ethics Machine Learning Governance Bias Mitigation Algorithmic Auditing Regulatory Compliance Causal Inference Tech Ethics Explainable AI

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