Job Description
We are building the systems that will define the next decade of human-machine interaction. Nexus Horizon AI is seeking a visionary Senior AI Alignment Research Scientist to lead our efforts in ensuring Artificial General Intelligence (AGI) remains beneficial and safe. As we look toward the 2026 roadmap, your work will be critical in establishing the ethical and safety standards for the next generation of autonomous systems.
In this role, you will bridge the gap between theoretical computer science and real-world application, ensuring our models are not only powerful but also aligned with human values. Join a team of world-class engineers and researchers dedicated to solving the most complex challenges in AI safety.
Why Join Us?
- Future-Proof Your Career: Work on projects that are shaping the standards for the 2026 technology landscape.
- Competitive Compensation: Comprehensive benefits package including health, dental, and vision.
- Flexible Work Environment: Hybrid model supporting top-tier talent across the US.
Responsibilities
- Design and implement advanced safety protocols and alignment frameworks for large-scale AI models.
- Conduct rigorous adversarial testing to identify and mitigate model vulnerabilities before deployment.
- Collaborate with cross-functional teams to integrate ethical guidelines into the core development lifecycle.
- Research and publish papers on novel alignment techniques, contributing to the global scientific community.
- Develop and maintain benchmark datasets to measure the safety and reliability of AI systems.
- Advocate for AI safety best practices across the organization and with external partners.
Qualifications
- PhD in Computer Science, Machine Learning, Cognitive Science, or a related field.
- 5+ years of professional experience in AI research, specifically in Natural Language Processing (NLP) or Reinforcement Learning.
- Deep understanding of machine learning theory, including supervised and unsupervised learning techniques.
- Experience with open-source AI frameworks such as PyTorch or TensorFlow.
- Strong background in statistics, probability, and optimization.
- Excellent written and verbal communication skills for technical documentation and stakeholder presentation.