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AI Ethics Research Lead

Nexus Innovations
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Join Nexus Innovations at the forefront of ethical AI development as we pioneer responsible technology solutions for 2026 and beyond. As an AI Ethics Research Lead, you'll shape the future of artificial intelligence by developing frameworks that ensure fairness, transparency, and accountability in automated systems. Our Austin-based team collaborates with Fortune 500 partners to create human-centered AI that drives positive societal impact while maintaining competitive innovation.

We offer a dynamic environment where your expertise in machine learning ethics will directly influence industry standards. You'll work alongside world-class researchers, engineers, and ethicists to develop cutting-edge governance protocols for next-generation AI applications. This role combines deep technical knowledge with philosophical rigor to solve complex ethical dilemmas in emerging technologies.

Responsibilities

  • Design and implement ethical AI governance frameworks for autonomous systems
  • Lead cross-functional teams in auditing algorithmic bias and fairness metrics
  • Develop predictive models for ethical risk assessment in AI deployments
  • Collaborate with product teams to embed ethical considerations into AI development lifecycles
  • Author white papers and industry standards for responsible AI adoption
  • Mentor junior researchers in emerging ethical AI methodologies
  • Represent the company at international AI ethics conferences and policy forums

Qualifications

  • PhD in Computer Science, Philosophy, Ethics, or related field (or equivalent experience)
  • 5+ years researching AI ethics, algorithmic fairness, or responsible AI
  • Published work in top-tier AI ethics or machine learning conferences
  • Expertise in bias detection/mitigation techniques for ML models
  • Proficiency with Python, TensorFlow/PyTorch, and statistical analysis tools
  • Experience collaborating with diverse stakeholders across tech, policy, and academia
  • Deep understanding of global AI regulatory landscapes (EU AI Act, NIST frameworks)

Required Skills

AI Ethics Machine Learning Algorithmic Fairness Python TensorFlow Research Methodology Governance Frameworks Policy Development

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