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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Research Lead

FutureWorks Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join FutureWorks Labs at the forefront of shaping ethical AI frameworks for 2026. We're seeking a visionary AI Ethics Research Lead to pioneer responsible innovation in artificial intelligence. This pivotal role bridges cutting-edge technology with human-centered design, ensuring our AI solutions align with societal values while driving commercial breakthroughs. You'll collaborate with interdisciplinary teams across quantum computing, biotech, and sustainable energy sectors to establish industry-wide ethical standards that will define the next decade of technological advancement.

As part of our 2026 Innovation Cohort, you'll access unparalleled resources including our Ethics Simulation Lab and partnerships with leading academic institutions. This hybrid role offers flexibility to work from our state-of-the-art San Francisco campus or remotely while maintaining deep collaboration with global teams.

Responsibilities

  • Develop and implement ethical governance frameworks for AI systems deployed in high-stakes industries
  • Lead cross-functional research initiatives on algorithmic bias mitigation and explainable AI
  • Partner with product teams to embed ethical considerations into the AI development lifecycle
  • Author white papers and policy recommendations for regulatory bodies preparing 2026 AI legislation
  • Mentor junior researchers while establishing the company's thought leadership in AI ethics
  • Conduct scenario planning for emerging ethical challenges in generative AI and autonomous systems
  • Present findings at international conferences and industry summits

Qualifications

  • PhD in Computer Science, Ethics, Philosophy, or related field with 5+ years of AI ethics research experience
  • Published work in top-tier ethics or AI journals demonstrating thought leadership
  • Expertise in bias detection techniques and fairness metrics for machine learning models
  • Experience collaborating with policymakers and regulatory bodies on technology governance
  • Deep understanding of emerging AI trends (neuromorphic computing, quantum AI) and their ethical implications
  • Proven ability to translate complex ethical concepts into actionable engineering requirements
  • Strong background in participatory design methodologies with diverse stakeholder groups

Required Skills

AI Ethics Algorithmic Fairness Explainable AI Policy Development Quantum Computing Ethics Responsible Innovation Research Leadership Stakeholder Engagement

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