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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Research Scientist

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Join Nexus Future Labs at the forefront of ethical AI development as we shape responsible technology for 2026. We're seeking visionary AI Ethics Research Scientists to design governance frameworks, audit algorithmic fairness, and pioneer transparent machine learning systems that align with human values. This role offers unparalleled impact in defining the ethical boundaries of autonomous systems, predictive analytics, and generative AI.

Our multidisciplinary team collaborates with industry leaders, policymakers, and academic institutions to create auditable AI ethics protocols. You'll lead research initiatives that directly influence regulatory standards while developing cutting-edge tools for bias detection and ethical impact assessment.

Responsibilities

  • Design and implement AI ethics governance frameworks for autonomous systems and predictive analytics
  • Conduct algorithmic audits to identify and mitigate bias in machine learning models
  • Develop proprietary tools for ethical impact assessment and transparency scoring
  • Lead cross-functional working groups establishing industry-wide AI ethics standards
  • Author policy briefs and technical whitepapers for regulatory bodies and Fortune 500 clients
  • Pioneer novel approaches to explainable AI and value-aligned reinforcement learning
  • Mentor junior researchers on ethical AI development methodologies

Qualifications

  • PhD in Computer Science, Ethics, Philosophy, or related field with 3+ years AI ethics research
  • Expertise in fairness metrics, bias mitigation, and algorithmic transparency techniques
  • Publication record at top-tier venues (NeurIPS, ICML, FAccT) on responsible AI
  • Proficiency in Python, PyTorch/TensorFlow, and causal inference frameworks
  • Experience collaborating with regulatory bodies and developing compliance frameworks
  • Demonstrated ability to translate complex ethical concepts into technical implementations
  • Deep understanding of global AI regulations (EU AI Act, US AI Bill of Rights)

Required Skills

AI Ethics Machine Learning Algorithmic Fairness Explainable AI Causal Inference Regulatory Compliance Python PyTorch Governance Frameworks

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