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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Research Scientist

NeuraFuture Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Join NeuraFuture Labs at the forefront of ethical AI development as we shape responsible technology for 2026 and beyond. We seek a visionary AI Ethics Research Scientist to design frameworks that ensure AI systems align with human values while driving innovation in machine learning and autonomous systems.

This role offers unparalleled opportunities to influence industry standards, collaborate with world-class researchers, and pioneer solutions for bias mitigation, transparency, and accountability in next-generation AI applications.

Responsibilities

  • Develop and implement ethical frameworks for AI model validation and deployment
  • Conduct interdisciplinary research on algorithmic bias and fairness in AI systems
  • Partner with engineering teams to embed ethical safeguards into AI development pipelines
  • Author whitepapers and industry standards for responsible AI adoption
  • Lead stakeholder workshops on AI ethics compliance and risk assessment
  • Monitor emerging regulatory trends (e.g., EU AI Act, US AI Bill of Rights)
  • Mentor junior researchers in ethics-first AI methodologies

Qualifications

  • PhD in Computer Science, Ethics, Philosophy, or related field (or equivalent experience)
  • 5+ years in AI ethics, responsible AI, or algorithmic governance
  • Published research in top-tier AI ethics or ML conferences (NeurIPS, ICML, etc.)
  • Expertise in bias detection techniques and fairness metrics (AIF360, Fairlearn)
  • Deep understanding of global AI regulatory landscapes
  • Experience with cross-functional ethical risk assessment processes
  • Strong background in machine learning fundamentals (Python, PyTorch)
  • Excellent communication skills for technical and non-technical audiences

Required Skills

AI Ethics Machine Learning Algorithmic Bias Fairness Metrics Regulatory Compliance Research Methodology Python PyTorch Stakeholder Communication

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