The role involves expanding natural language understanding and agentic artificial intelligence capabilities to improve user experiences and platform-wide conversational features. The engineer will design and evolve compound artificial intelligence systems while training and productionizing models. Responsibilities include researching and developing scalable solutions for conversational agent domains, such as reasoning strategies and multimodal agents. The position requires applying machine learning and software engineering to create value for customers while ensuring model performance, reliability, and latency. Additionally, the role focuses on responsible artificial intelligence practices, including red-teaming for safety and maintaining data privacy standards.

Candidates must possess machine learning expertise and the ability to solve problems end-to-end. The role requires proficiency in Python or Golang and a solid grasp of model evaluation fundamentals for text generation and classification. Applicants should have knowledge of deep learning architectures and large language models. There is no specific degree requirement mentioned, but candidates must demonstrate a high standard for data quality and the ability to ship production-quality, unit-tested code.