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AI Ethics Research Scientist

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

Job Description

Join Nexus Future Labs at the forefront of ethical AI innovation. We're pioneering responsible artificial intelligence solutions that shape humanity's technological future. As an AI Ethics Research Scientist, you'll develop frameworks to ensure autonomous systems align with human values while driving breakthrough research in explainable AI, bias mitigation, and governance models. Collaborate with world-class researchers to build the ethical foundations for 2026's most transformative technologies.

Why Nexus Future Labs?
• Work on cutting-edge projects with real-world societal impact
• Competitive compensation and comprehensive benefits package
• Flexible hybrid work environment with innovation-focused culture
• Annual research budget for conferences and publications

Responsibilities

  • Design and implement ethical AI governance frameworks for autonomous systems
  • Lead interdisciplinary research on algorithmic fairness and bias detection
  • Develop explainable AI techniques for high-stakes decision-making systems
  • Collaborate with engineering teams to integrate ethical safeguards into production AI
  • Publish peer-reviewed research and present at top-tier conferences
  • Advise policy stakeholders on emerging AI regulations and standards
  • Mentor junior researchers and foster ethical innovation culture

Qualifications

  • PhD in Computer Science, Ethics, Philosophy, or related field (or equivalent experience)
  • 3+ years researching AI ethics, fairness, or responsible AI systems
  • Expertise in bias mitigation techniques and algorithmic transparency methods
  • Strong publication record in top-tier AI/ethics conferences (NeurIPS, FAccT, etc.)
  • Proficiency in Python, PyTorch/TensorFlow, and statistical analysis tools
  • Deep understanding of global AI regulatory landscapes (EU AI Act, NIST frameworks)
  • Exceptional communication skills for technical and non-technical audiences

Required Skills

AI Ethics Explainable AI Algorithmic Bias Research Governance PyTorch TensorFlow Python Ethics Frameworks

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