Job Description
Join Nexus Future Labs at the forefront of responsible AI development. We're seeking an AI Ethics & Governance Lead to shape the ethical frameworks for transformative technologies that will define 2026 and beyond. In this pivotal role, you'll architect governance protocols for autonomous systems, bias mitigation strategies, and transparent AI deployment models. You'll collaborate with quantum computing researchers, neural interface designers, and cross-disciplinary futurists to ensure our innovations align with human values and societal well-being.
Our San Francisco hub offers unparalleled access to emerging tech ecosystems, with competitive compensation including equity, flexible work arrangements, and dedicated R&D budgets for ethical innovation initiatives. This is your opportunity to directly influence how humanity navigates the technological inflection point of the mid-2020s.
Responsibilities
- Design and implement ethical governance frameworks for generative AI and autonomous systems
- Lead bias audits across machine learning pipelines using adversarial testing methodologies
- Develop transparency protocols for AI decision-making systems in regulated industries
- Collaborate with product teams to embed ethical considerations into development lifecycles
- Author industry whitepapers on AI safety standards and regulatory compliance
- Manage cross-functional working groups with engineering, legal, and policy stakeholders
- Conduct horizon scanning for emerging ethical challenges in quantum and neuromorphic computing
Qualifications
- Advanced degree in Computer Science, Ethics, Philosophy, or related field with 5+ years AI governance experience
- Proven expertise in implementing ethical AI frameworks (e.g., EU AI Act, NIST RMF)
- Strong background in machine learning model auditing and bias mitigation techniques
- Familiarity with quantum computing architectures and neuromorphic system design
- Certification in AI ethics or technology governance (e.g., IEEE Ethically Aligned Design)
- Experience testifying before regulatory bodies on AI policy matters
- Portfolio demonstrating thought leadership in responsible AI development