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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Research Lead

FutureScope Analytics
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join FutureScope Analytics at the forefront of responsible AI innovation. We're seeking an AI Ethics Research Lead to shape governance frameworks for 2026's autonomous systems. This senior role bridges technical AI development with ethical compliance, ensuring our solutions advance humanity while mitigating societal risks. You'll lead cross-functional teams in developing bias detection algorithms, privacy-preserving techniques, and transparent AI audit protocols. Work with Fortune 500 partners deploying next-gen AI in healthcare, finance, and urban planning.

Our Austin hub offers a collaborative environment where your research directly impacts industry standards. We provide competitive benefits including equity, flexible remote options, and dedicated innovation time. Help us build an AI ecosystem that prioritizes human dignity and equitable outcomes.

Responsibilities

  • Design and implement AI ethics governance frameworks for autonomous systems deployment
  • Lead bias mitigation research in large-scale machine learning pipelines
  • Develop algorithmic transparency tools for regulated industries
  • Collaborate with engineering teams to embed ethical safeguards into production AI
  • Author white papers and compliance documentation for regulatory bodies
  • Present findings at industry conferences and academic symposiums
  • Mentor junior researchers in responsible AI methodologies

Qualifications

  • PhD in Computer Science, Ethics, or related field with 5+ years AI research experience
  • Published work on algorithmic bias mitigation or AI interpretability
  • Expertise in implementing ethics frameworks per IEEE 7001 or EU AI Act
  • Proficiency in Python, TensorFlow/PyTorch, and statistical analysis tools
  • Experience collaborating with legal/compliance teams on AI regulations
  • Strong background in privacy-preserving ML techniques (differential privacy, federated learning)
  • Demonstrated ability to translate complex ethical concepts into technical requirements

Required Skills

AI Ethics Machine Learning Governance Algorithmic Bias Privacy-Preserving AI Regulatory Compliance Ethical AI Frameworks TensorFlow Python Differential Privacy

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