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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Research Scientist

Nexus Future Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join Nexus Future Labs at the forefront of ethical AI development as we shape responsible technology for 2026 and beyond. We're pioneering frameworks to ensure AI systems align with human values, safety standards, and regulatory compliance in an era of exponential technological growth. This role offers unparalleled opportunity to influence global AI policy while working with world-class researchers and engineers.

What you'll experience: Collaborative innovation in our Austin research hub, comprehensive benefits package, professional development stipends, and the chance to publish groundbreaking research in top-tier journals.

Responsibilities

  • Lead interdisciplinary research teams in developing ethical AI governance frameworks
  • Design and implement bias mitigation algorithms for next-generation ML models
  • Collaborate with policymakers to shape 2026+ AI regulatory standards
  • Conduct vulnerability assessments for autonomous systems and quantum AI applications
  • Author white papers on AI safety and transparency methodologies
  • Develop real-time monitoring systems for algorithmic fairness in production environments

Qualifications

  • PhD in Computer Science, Ethics, Philosophy, or related field with 5+ years of AI research
  • Published work in top-tier AI ethics conferences (e.g., FAccT, AAAI)
  • Expertise in fairness metrics, explainable AI (XAI), and adversarial ML
  • Experience with regulatory frameworks (EU AI Act, NIST AI RMF)
  • Strong programming skills in Python with ML frameworks (PyTorch, TensorFlow)
  • Understanding of quantum computing principles and their AI implications
  • Proven ability to translate complex ethical concepts into technical implementations

Required Skills

AI Ethics Machine Learning Algorithmic Fairness Explainable AI Policy Development Quantum Computing Python Research Methodology

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