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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Researcher

FutureTech Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Join our pioneering team shaping the ethical future of artificial intelligence at FutureTech Innovations. We seek an AI Ethics Researcher to develop frameworks ensuring responsible AI deployment across autonomous systems, healthcare diagnostics, and predictive analytics. This role bridges cutting-edge technology with human-centered design principles to create equitable, transparent, and accountable AI solutions for 2026 and beyond.

As a key member of our Ethics & Governance division, you'll collaborate with engineers, policymakers, and domain experts to audit algorithmic bias, design ethical testing protocols, and contribute to industry-wide standards. Our culture combines Silicon Valley innovation with deep commitment to social responsibility.

Responsibilities

  • Develop and implement bias detection algorithms for machine learning models
  • Author ethics whitepapers and compliance frameworks for AI deployment
  • Conduct adversarial testing of autonomous decision systems
  • Partner with legal teams to ensure GDPR/CCPA alignment in AI products
  • Lead stakeholder workshops on ethical AI adoption strategies
  • Monitor emerging regulations and update internal policies accordingly
  • Contribute to open-source ethical AI toolkits

Qualifications

  • PhD in Ethics, Computer Science, Philosophy, or related field (or equivalent experience)
  • 3+ years researching algorithmic bias or AI governance frameworks
  • Expertise in fairness metrics (e.g., disparate impact, equalized odds)
  • Proficiency with Python and ML libraries (TensorFlow/PyTorch)
  • Published work in top-tier AI ethics journals or conferences
  • Experience with regulatory compliance (GDPR, AI Act, NIST RMF)
  • Strong background in participatory design methodologies
  • Demonstrated ability to translate complex concepts for non-technical audiences

Required Skills

AI Ethics Machine Learning Algorithmic Bias Governance Python TensorFlow GDPR NIST RMF Participatory Design

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