Job Description
Are you ready to define the rules of the next generation of Artificial General Intelligence? At Neural Horizon Systems, we are building the ethical infrastructure for the 2026 era. We are seeking a visionary Lead AI Safety & Alignment Engineer to join our elite research division and ensure that advanced AI systems remain beneficial, transparent, and safe.
In this high-impact role, you will work at the intersection of machine learning, philosophy, and cybersecurity. You will be instrumental in developing the guardrails that prevent unintended consequences in autonomous systems, positioning us as the market leader in ethical AI development by 2026.
Why Join Us?
• Pioneer the Future: Work on cutting-edge problems that will define the industry standard for the next decade.
• Competitive Compensation: Top-tier salary and equity package.
• Remote-First Culture: Flexible work arrangements for the best talent in the US.
Responsibilities
- Design Alignment Frameworks: Develop and implement mathematical and algorithmic frameworks to ensure AI systems act in accordance with human values and safety protocols.
- Adversarial Testing: Conduct rigorous red-teaming exercises to identify and patch vulnerabilities in generative models before deployment.
- Policy Formulation: Collaborate with legal and ethics boards to create industry standards for AI transparency and accountability.
- Model Interpretability: Create tools that make complex AI decision-making processes understandable to non-technical stakeholders.
- Research Publication: Publish seminal papers in top-tier conferences (NeurIPS, ICML) regarding AI risk and mitigation strategies.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Philosophy, Cognitive Science, or a related field with a focus on AI Ethics.
- Technical Expertise: Deep understanding of Machine Learning principles, specifically Large Language Models (LLMs) and Reinforcement Learning from Human Feedback (RLHF).
- Experience: Minimum of 5 years of professional experience in AI research or software engineering.
- Problem Solving: Exceptional analytical skills with a proven track record of solving complex, novel technical challenges.
- Communication: Ability to translate complex technical concepts into clear, actionable policy recommendations.