Job Description
We are pioneering the next generation of human-machine integration. As we approach the pivotal year of 2026, Nexus Horizon Labs seeks a visionary Senior AI Ethics & Governance Engineer to lead our responsible AI initiatives. This is not just a job; it is an opportunity to define the ethical standards of a new technological era.
In this high-impact role, you will collaborate with world-class engineers and policymakers to ensure our advanced neural architectures operate within transparent, fair, and accountable frameworks. If you are passionate about the future of technology and have the expertise to guide it, we want to hear from you.
Responsibilities
- Architect Ethical Frameworks: Design and implement comprehensive AI governance policies that align with global regulatory standards and internal company values.
- Conduct Bias Audits: Perform rigorous testing and auditing of large language models and predictive algorithms to identify and mitigate algorithmic bias.
- Stakeholder Collaboration: Act as the primary liaison between technical teams, legal departments, and external advocacy groups to resolve complex ethical dilemmas.
- Risk Assessment: Evaluate emerging AI technologies for potential societal risks and propose mitigation strategies before deployment.
- Model Transparency: Develop methodologies to explain complex model decisions to non-technical stakeholders, ensuring trust and accountability.
Qualifications
- Education: Master’s degree or PhD in Computer Science, Ethics, Philosophy, or a related technical field.
- Experience: Minimum of 5 years of experience in Machine Learning, NLP, or AI development with a focus on ethical implications.
- Technical Proficiency: Strong command of Python, TensorFlow, PyTorch, and experience with LLM fine-tuning and deployment.
- Analytical Skills: Proven ability to conduct quantitative risk assessments and statistical analysis of model performance.
- Communication: Exceptional verbal and written communication skills, with the ability to translate technical concepts into accessible language.