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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Researcher

Quantum Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Join Quantum Horizon Labs at the forefront of ethical AI development. We're pioneering responsible AI systems that will shape 2026 and beyond. As an AI Ethics Researcher, you'll design frameworks to ensure machine learning innovations align with human values while driving technological advancement. Our multidisciplinary team collaborates with Fortune 500 partners to build transparent, accountable AI solutions.

Why Join Us? Competitive equity packages, flexible remote work options, and access to our state-of-the-art research facilities. You'll work directly with MIT and Stanford-affiliated researchers while contributing to industry-defining ethical standards.

Responsibilities

  • Develop and implement AI ethics frameworks for autonomous systems and generative models
  • Conduct bias audits and fairness assessments across machine learning pipelines
  • Author white papers and policy recommendations for regulatory bodies
  • Lead cross-functional workshops on responsible AI implementation
  • Collaborate with product teams to embed ethical design principles
  • Track emerging AI regulations and global compliance requirements
  • Mentor junior researchers through our ethics fellowship program

Qualifications

  • PhD in Computer Science, Philosophy, Ethics, or related field (Master's with exceptional experience)
  • 3+ years researching AI ethics, bias mitigation, or responsible ML
  • Publication record at top-tier conferences (NeurIPS, FAccT, etc.)
  • Expertise in fairness metrics and adversarial bias detection
  • Experience with regulatory frameworks (EU AI Act, NIST RMF)
  • Strong programming skills in Python and ML frameworks
  • Exceptional written communication for technical and non-technical audiences

Required Skills

AI Ethics Machine Learning Research Data Analysis Policy Development Communication Python Fairness Metrics

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