Job Description
Join NeuroTech Labs at the forefront of ethical AI innovation. We seek an AI Ethics Research Lead to architect responsible AI frameworks for 2026 and beyond. This pivotal role bridges cutting-edge machine learning with human-centric governance, ensuring our autonomous systems evolve safely and equitably.
In this strategic position, you'll collaborate with quantum computing teams, neuroscientists, and policy experts to develop preemptive ethical protocols. You'll pioneer bias mitigation algorithms, audit neural network transparency, and shape industry standards for sentient AI integration. Our San Francisco campus offers unparalleled resources including quantum simulators and neural mapping labs.
NeuroTech Labs provides comprehensive benefits including equity, sabbatical programs, and continuous learning stipends. If you're passionate about ensuring technology serves humanity, apply today to influence the next era of intelligent systems.
Responsibilities
- Design and implement ethical governance frameworks for autonomous decision-making systems
- Lead cross-functional audits of AI bias and fairness across neural networks
- Develop quantum-safe encryption protocols for sensitive human data processing
- Author whitepapers on AI consciousness ethics for regulatory bodies
- Mentor interdisciplinary teams on responsible AI development practices
- Establish KPIs for ethical AI performance and continuous improvement
- Collaborate with neuroscientists on brain-computer interface ethical boundaries
Qualifications
- PhD in AI Ethics, Philosophy of Technology, or Cognitive Science
- 5+ years leading AI governance projects in regulated industries
- Published research on algorithmic bias mitigation or explainable AI
- Expertise in quantum computing security and human-AI interaction
- Experience with ISO/IEC 42001 AI management systems
- Strong background in policy development for emerging technologies
- Proficiency in Python and TensorFlow for ethical AI testing