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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Engineer

Nexus Future Labs
Austin
Estimated Salary
USD 130.000 – USD 180.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Join Nexus Future Labs at the forefront of responsible AI development. We're pioneering ethical frameworks for autonomous systems that will define 2026's technological landscape. As an AI Ethics Engineer, you'll architect governance solutions that balance innovation with human values, ensuring our AI products serve humanity's best interests.

This role offers unparalleled opportunity to shape the ethical backbone of tomorrow's AI infrastructure while working with world-class researchers and industry pioneers. Our Austin campus features state-of-the-art labs and collaborative spaces designed for breakthrough thinking.

Responsibilities

  • Design and implement ethical AI governance frameworks aligned with emerging 2026 regulatory standards
  • Conduct bias audits and fairness assessments across machine learning pipelines
  • Develop transparency protocols for autonomous decision-making systems
  • Collaborate with product teams to embed ethical considerations into SDLC processes
  • Produce stakeholder reports on AI impact assessments and ethical compliance
  • Lead cross-functional working groups on responsible AI development practices
  • Research emerging ethical challenges in generative AI and predictive modeling

Qualifications

  • Advanced degree in Computer Science, Ethics, Philosophy, or related field (MS/PhD preferred)
  • 3+ years of experience in AI/ML development with emphasis on ethical implications
  • Deep understanding of global AI governance frameworks (EU AI Act, NIST RMF)
  • Proficiency in bias detection tools and fairness metrics (AIF360, Fairlearn)
  • Experience with regulatory compliance in tech or healthcare sectors
  • Strong background in applied ethics and moral philosophy
  • Published research or significant contributions to AI ethics discourse

Required Skills

AI Ethics Machine Learning Governance Regulatory Compliance Bias Detection Fairness Metrics Autonomous Systems AI Transparency Stakeholder Communication

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