Job Description
Join Nexus Labs at the forefront of responsible AI development. We're pioneering ethical frameworks for 2026's autonomous systems, seeking an AI Ethics Research Scientist to shape the future of human-AI collaboration. In this high-impact role, you'll design governance protocols for generative AI, conduct bias audits, and develop transparency standards for neural networks. Our interdisciplinary team combines machine learning experts with philosophers, policy specialists, and social scientists to create ethically aligned AI systems.
You'll work on cutting-edge projects including bias mitigation in large language models, explainability techniques for deep learning, and ethical impact assessments for AI-driven decision systems. This position offers unparalleled opportunities to publish research, influence industry standards, and contribute to the responsible deployment of transformative technologies.
Responsibilities
- Design and implement ethical governance frameworks for generative AI systems
- Conduct algorithmic bias audits and fairness assessments across ML pipelines
- Develop explainability techniques for complex neural network architectures
- Create ethical impact assessments for AI-driven decision systems
- Collaborate with policy teams to shape industry standards and regulations
- Lead research initiatives on value alignment in autonomous systems
- Author white papers and peer-reviewed publications on AI ethics
Qualifications
- PhD in Computer Science, Philosophy, Cognitive Science, or related field with AI focus
- 3+ years researching algorithmic fairness, transparency, or AI alignment
- Expertise in ML frameworks (PyTorch/TensorFlow) and bias detection tools
- Deep understanding of ethical frameworks (utilitarianism, deontology, virtue ethics)
- Experience with NLP, computer vision, or generative model architectures
- Strong publication record in AI ethics or responsible ML venues
- Ability to translate complex ethical concepts into technical specifications