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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Researcher (2026 Initiative)

Nexus Future Labs
San Francisco
Estimated Salary
USD 175.000 – USD 220.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Future Labs at the forefront of ethical AI development. As part of our 2026 Initiative, we're seeking visionary researchers to shape the responsible future of artificial intelligence. This role combines cutting-edge machine learning with rigorous ethical frameworks to develop guidelines that will govern AI systems for the next decade.

You'll collaborate with cross-functional teams to audit AI models, develop bias-mitigation protocols, and publish research that sets industry standards. Our San Francisco hub offers unparalleled resources including quantum computing access and partnerships with global regulatory bodies.

Responsibilities

  • Design and implement bias detection algorithms for large-scale AI models
  • Develop ethical frameworks for autonomous systems and generative AI
  • Conduct risk assessments for AI deployment in critical infrastructure
  • Author white papers and regulatory guidelines for government bodies
  • Lead cross-functional workshops on responsible AI development
  • Monitor emerging AI legislation and advise compliance strategies
  • Collaborate with academic institutions on AI ethics research

Qualifications

  • PhD in Computer Science, Ethics, or related field with 3+ years AI research experience
  • Published work in top-tier AI ethics conferences (e.g., FAccT, AIES)
  • Expertise in fairness metrics and adversarial machine learning
  • Proficiency with Python, PyTorch, and ethical auditing tools
  • Deep understanding of global AI regulatory landscapes
  • Experience with policy development for tech governance
  • Strong background in philosophy of technology or moral philosophy
  • Track record of translating academic research into practical guidelines

Required Skills

Machine Learning AI Ethics Algorithmic Auditing Python PyTorch Policy Development Fairness Metrics Quantum Computing

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