Research Scientist - Generative AI Security

Summary

Join Pangea, a well-funded AI security startup, as a Research Scientist to shape the future of AI safety and security. You will train and fine-tune large language models (LLMs) and multimodal AI systems for security applications, conduct advanced research in AI security, and build automation pipelines. Collaborate with engineering, product, and security teams to translate research into production solutions. This role requires an advanced degree in a related field, hands-on experience with LLMs and multimodal systems, strong programming skills, and expertise in NLP and machine learning. Pangea offers a cutting-edge environment, rapid growth opportunities, technical freedom, and a mission-driven culture.

Requirements

• Advanced degree in Computer Science, Machine Learning, AI, or related field (PhD strongly preferred)
• Hands-on experience training and fine-tuning large language models and multimodal systems
• Strong programming skills with experience in automation and scripting (Python, PyTorch/TensorFlow, etc.)
• Demonstrated expertise in Natural Language Processing and Machine Learning
• Experience with distributed computing and model scaling techniques

Responsibilities

• Model Development: Train and fine-tune large language models (LLMs) and multimodal AI systems for security applications
• Research & Innovation: Conduct advanced research in AI security, developing novel approaches to protect against emerging threats
• Automation & Scripting: Build robust automation pipelines and tools to streamline model training, evaluation, and deployment processes
• Security Integration: Apply deep security domain knowledge to enhance AI model safety and reliability
• Cross-functional Collaboration: Work closely with engineering, product, and security teams to translate research into production solutions

Preferred Qualifications

• Security Domain Experience: Background in cybersecurity, AI safety, or related security fields
• Publications in Speaking at top-tier ML/AI conferences
• Experience with model evaluation frameworks and safety benchmarks
• Knowledge of adversarial ML and robust AI systems
• Familiarity with MLOps and production ML systems

Benefits

• Equity – stock options
• Flexible PTO
• Remote work with team meetup opportunities
• Health/dental/vision insurance coverage for you and your family