Machine Learning Engineering Manager, GAI Search Relevance

As the leader of a team of talented search relevance engineers, your objective will be to measure and improve the ranking and relevance of our AI-powered enterprise search applications. Since these applications also leverage large language models (LLMs), you will also be responsible for measuring and improving RAG-based objectives such as summarization, groundedness of responses, and citation correctness and completeness. You will guide the team to drive end-to-end development of machine-learning models, including data synthesis, feature engineering, experiment design, evaluation and more. Your team will play a pivotal role in improving our search relevance in a systematic and methodical manner as we scale to new customers, new types of data and use-cases, and will ultimately be accountable for the ranking quality of all our enterprise search products. Your team's ownership of search quality is crucial to the company's search product lines, with success measured by its enablement capab...