Company Description
Garak Inc. specializes in LLM security and compliance, leveraging NVIDIA’s open-source Garak red-teaming framework and NeMo Guardrails. Trusted by Fortune 500 companies, Garak provides cutting-edge solutions to detect and prevent prompt injections, jailbreaks, data exfiltration, and regulatory violations. The company's innovative tools ensure secure and compliant AI deployments from development to production.
Role Description
This is a full-time, on-site role based in the San Francisco Bay Area. As an Applied Scientist at Garak Security, your primary responsibilities will include conducting advanced research and development in pattern recognition, data science, and statistics to enhance and improve LLM security solutions. Leveraging expertise in computer science, you will collaborate with cross-functional teams to implement and optimize algorithms, analyze datasets, and contribute to the continuous evolution of innovative security technologies.
Qualifications
- Expertise in Pattern Recognition and the ability to apply these techniques to real-world challenges.
- Strong foundation in Computer Science, including programming and algorithm development.
- Proficiency in Statistics and Data Science, with experience in analyzing and interpreting complex datasets.
- Research skills with a proven ability to conduct experiments and validate findings.
- Advanced degree (e.g., Master's or Ph.D.) in Computer Science, Data Science, or a related field preferred.
- Experience working with machine learning models or LLMs is a plus.
- Strong problem-solving capabilities and ability to work collaboratively in a dynamic environment.
