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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Research Lead

Nexus Future Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Shape the ethical frontier of AI at Nexus Future Labs, where we're engineering responsible systems for the 2026 digital landscape. As our AI Ethics Research Lead, you'll architect governance frameworks that balance innovation with human values while deploying cutting-edge solutions in autonomous systems, generative AI, and predictive analytics.

Join a multidisciplinary team of futurists, engineers, and ethicists to develop auditable AI transparency protocols, bias mitigation strategies, and regulatory blueprints. We offer competitive compensation, flexible work arrangements, and the opportunity to define how humanity coexists with superintelligent systems.

Responsibilities

  • Design and implement ethical governance frameworks for next-gen AI systems
  • Lead cross-functional audits of algorithmic bias and fairness
  • Develop policy recommendations for regulatory compliance in 2026+ tech ecosystems
  • Conduct original research on existential AI safety and alignment techniques
  • Mentor junior researchers while publishing in top-tier AI ethics journals
  • Collaborate with product teams to embed ethical by design principles
  • Present findings to industry consortiums and government bodies

Qualifications

  • PhD in Computer Science, Philosophy, or Ethics with 5+ years AI research
  • Expertise in fairness metrics, explainable AI, and adversarial robustness
  • Published work in NeurIPS/ICML/AAAI on algorithmic fairness
  • Experience with federated learning and differential privacy techniques
  • Deep understanding of EU AI Act and NIST AI RMF frameworks
  • Proficiency in Python, PyTorch, and causal inference libraries
  • Strong background in moral philosophy and ethical decision-making

Required Skills

AI Ethics Machine Learning Governance Algorithmic Auditing Explainable AI Causal Inference Regulatory Compliance Moral Philosophy PyTorch Federated Learning

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