AI Researcher Job Description
We are seeking a highly motivated and technically skilled researcher to join our expanding AI Security team in Dublin. This role is perfect for individuals passionate about the intersection of Artificial Intelligence and Security.
The ideal candidate will actively contribute to our core mission by researching novel attack vectors against AI systems, particularly LLMs and emerging agentic systems. They will also develop innovative defense mechanisms and mitigation strategies that will be integrated into our AI security platform solutions.
Key Responsibilities:
* Conduct research into known and emerging vulnerabilities specific to LLMs, agentic AI systems, and other machine learning models.
* Design, implement, and execute experiments to rigorously test the susceptibility of various AI models and systems to different attack vectors.
* Develop proof-of-concept attacks and defenses, with a particular focus on those relevant to agentic AI systems.
* Contribute to the development and implementation of novel methods and tools for detecting and mitigating vulnerabilities, feeding directly into our platform.
* Analyze the root causes of identified vulnerabilities and collaborate on devising and evaluating robust defense mechanisms.
* Contribute research findings and developed techniques directly to the feature roadmap and capabilities of our security platform.
Required Skills and Qualifications:
* Advanced degree (Master's or PhD) in Computer Science, Artificial Intelligence, Machine Learning, Cybersecurity, Statistics, Mathematics, or a closely related quantitative field.
* Solid understanding of machine learning, deep learning, and natural language processing concepts, with specific knowledge related to transformer architectures and LLMs.
* Proficiency in Python programming.
* Hands-on experience with common ML/DL frameworks (e.g., PyTorch, TensorFlow, JAX) and libraries (e.g., Hugging Face Transformers, scikit-learn).
* Demonstrated ability to conduct research, evidenced through academic projects, thesis work, publications, or relevant work experience.
Benefits:
* Competitive salary and benefits package.
* Opportunities for professional growth and development.
* A dynamic and supportive work environment.