Research Scientist Intern (Security for AI) - 2026 Start (PhD)

About the role

The Security AI team at Nestled Flow AI Organization is dedicated to enhancing the security of Large Language Models (LLMs) and ensuring a safe digital experience for users worldwide. We are seeking talented PhD interns to join our team for an internship in 2026.

Job Responsibilities

• Explore, design, and develop security solutions for Large Language Models (LLMs), such as techniques to enhance LLM robustness against potential threats like prompt injections and private information disclosure.
• Conduct comprehensive security risk assessments and provide actionable recommendations for mitigating potential vulnerabilities in LLMs.
• Stay well-informed about existing AI risks to ensure the highest level of security across all AI projects.
• Keep abreast of the latest AI technologies and trends, proactively identifying opportunities to strengthen the security of AI products.
• Foster strategic collaborations with external organizations and experts to remain at the forefront of best practices and advancements in AI security.
• Continuously evaluate and optimize internal processes and procedures related to AI security to maintain a robust and resilient framework.
• Provide leadership and guidance to clients, empowering them to understand and adopt secure AI practices seamlessly.
• Develop and deliver comprehensive training and educational programs on secure AI principles and best practices to team members, promoting a culture of AI security awareness and excellence.

Qualifications

• Currently pursuing PhD in Computer Science or a related discipline.
• Excellent knowledge of theory and practice of LLM and foundation models.
• Strong publication record at conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, etc.).
• Good communication and collaboration skills, able to explore new technologies with the team and promote technological progress.
• Demonstrated software engineering or natural language processing, or deep learning experience from previous internships, work experience, coding competitions, or publications.
• High levels of creativity and quick problem-solving capabilities.
• Excellent coding ability, familiar with data structures, and fundamental algorithm skills, proficient in Python or Go or Java, winners of competitions such as ACM/ICPC, USACO/NOI/IOI, Top Coder, Kaggle, etc. are preferred.