Our team has an immediate permanent opening for a Research Engineer

Responsibilities:

• Research and apply state-of-the-art technologies to guide the synthesis process of neural symbolic architectures with the integration of LLM/AI and Formal methods.
• Design and develop comprehensive testing strategies for LLM-based AI systems, e.g., white box testing (examining internal components) and black box testing (evaluating system behavior from an external perspective); assessing the coverage/activation patterns to understand the AI system and improve performance.
• Design and develop formal modeling, analysis, and verification techniques to integrate symbolic information and reasoning within neural networks; ensure accurate interpretation and generation of LLM-based AI system outputs.
• Work closely with researchers and engineers to apply advanced technologies into the practical AI development lifecycle, and publish findings in relevant conferences and journals.

What you’ll bring to the team:

• A Ph.D. degree in Formal Methods, Software Engineering, LLM/AI, or a closely related field.
• Proven experience in research and development in related fields.
• Knowledge of formal reasoning and testing techniques.
• Understanding of LLM/AI techniques and their limitations.
• Strong programming skills.
• Ability to collaborate effectively with interdisciplinary teams.
• Adept at identifying and solving complex technical challenges.