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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Research Scientist

Quantum Leap Dynamics
Austin
Estimated Salary
USD 175.000 – USD 220.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Quantum Leap Dynamics at the forefront of 2026's AI revolution. We're pioneering ethical AI frameworks that will shape humanity's digital future. As our AI Ethics Research Scientist, you'll develop responsible AI governance protocols while working with Fortune 500 partners deploying next-generation autonomous systems. This hybrid role offers unparalleled influence in defining the ethical boundaries of artificial intelligence.

What you'll achieve:

  • Design bias mitigation algorithms for enterprise AI deployments
  • Lead cross-functional ethics taskforces with industry leaders
  • Publish groundbreaking research in top-tier AI ethics journals
  • Shape emerging regulatory frameworks for AI governance

Responsibilities

  • Develop and implement ethical AI auditing protocols for autonomous systems
  • Collaborate with product teams to embed ethical considerations in AI development lifecycles
  • Conduct adversarial testing to identify AI vulnerabilities and ethical risks
  • Create transparent explainability frameworks for high-stakes AI decisions
  • Advise C-suite executives on responsible AI adoption strategies
  • Present findings at international AI ethics symposiums
  • Mentor junior researchers in ethical AI methodologies

Qualifications

  • PhD in Computer Science, Ethics, or related field with AI focus
  • 5+ years researching algorithmic bias mitigation or AI ethics
  • Expertise in Python, TensorFlow, and ethical AI frameworks
  • Published work in top-tier AI ethics or ML journals
  • Experience with regulatory compliance frameworks (GDPR, CCPA, EU AI Act)
  • Strong background in philosophy of technology or moral philosophy
  • Proven ability to translate complex ethical concepts for technical teams

Required Skills

AI Ethics Machine Learning Python TensorFlow Algorithmic Bias Explainable AI Regulatory Compliance Philosophy of Technology Research Methodology

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