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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Research Scientist

Nexus Innovations Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Shape the future of ethical AI at Nexus Innovations Inc. We're seeking a visionary AI Ethics Research Scientist to pioneer responsible AI frameworks that will define technological standards for 2026 and beyond. Join our interdisciplinary team in San Francisco where you'll develop governance models, audit algorithms for bias, and collaborate with industry leaders to create transparent, accountable AI systems.

Our culture combines Silicon Valley innovation with deep ethical commitment. You'll work on high-impact projects addressing fairness in autonomous systems, privacy-preserving machine learning, and societal impact assessments. We offer competitive compensation, flexible work arrangements, and opportunities to publish groundbreaking research at global forums.

Responsibilities

  • Design and implement bias detection/mitigation algorithms for ML systems
  • Develop ethical AI governance frameworks aligned with emerging regulations
  • Conduct interdisciplinary research on AI societal impacts and ethical implications
  • Partner with engineering teams to embed ethical safeguards in product lifecycles
  • Author white papers and industry standards for responsible AI deployment
  • Lead stakeholder workshops on AI ethics with corporate and government partners
  • Advise on emerging AI regulations and compliance strategies

Qualifications

  • PhD in Computer Science, Ethics, Philosophy, or related field (or equivalent experience)
  • Expertise in machine learning fairness metrics and algorithmic bias mitigation
  • Strong background in ethical frameworks for autonomous systems
  • Publication record in top-tier AI ethics or ML conferences (NeurIPS, ICML, etc.)
  • Experience with regulatory landscape (EU AI Act, NIST frameworks)
  • Proficiency in Python/R and statistical analysis tools
  • Excellent communication skills for technical and non-technical audiences

Required Skills

Machine Learning AI Ethics Algorithmic Bias Governance Frameworks Statistical Analysis Python Regulatory Compliance Stakeholder Engagement

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