Job Description
Are you ready to architect the future of artificial intelligence for the year 2026 and beyond? Nexus 2026 is at the forefront of next-generation technology, and we are seeking a visionary Senior AI Safety & Strategy Lead to ensure our systems are not only powerful but safe, ethical, and aligned with human values.
In this pivotal role, you will define the governance frameworks and safety protocols for our upcoming suite of AGI-ready models. You will bridge the gap between cutting-edge machine learning engineering and rigorous ethical compliance, ensuring that our innovations remain beneficial for humanity as we approach the technological singularity.
Why join Nexus 2026?
- Work on the frontier of Artificial General Intelligence.
- Shape the global standards for AI safety and ethics.
- Competitive equity package and top-tier benefits.
- Collaborate with world-class researchers and engineers.
Responsibilities
- Develop and implement the 2026 AI Governance Framework, establishing safety standards for emerging generative models.
- Conduct rigorous adversarial testing and bias audits on large language models to identify and mitigate systemic risks.
- Partner with engineering leads to integrate safety guardrails directly into the model training pipelines.
- Advocate for ethical AI principles within the organization and communicate complex safety concepts to non-technical stakeholders.
- Monitor global regulatory trends to ensure Nexus 2026 remains compliant with future legislation.
- Lead cross-functional task forces to resolve high-stakes technical and ethical dilemmas.
Qualifications
- Master’s or PhD degree in Computer Science, Ethics, Philosophy, or a related quantitative field.
- Minimum of 5 years of experience in AI/ML research, software engineering, or policy-making.
- Deep technical understanding of Transformer architectures, Reinforcement Learning from Human Feedback (RLHF), and model interpretability.
- Proven track record of leading ethical reviews or safety assessments for large-scale software systems.
- Exceptional written and verbal communication skills, with the ability to translate technical risks into actionable business strategies.
- Experience with Python, PyTorch, or TensorFlow is highly preferred.