Job Description

Join the Agentic Search team at Atlassian to build and ship intelligent search experiences that power Rovo Chat and AI-driven workflows across the Atlassian platform. As an MLE on this team, you'll work at the intersection of machine learning, information retrieval, and large language models to deliver search capabilities that help millions of users find, understand, and act on their work data. Responsibilities:What you'll do:Design, build, and optimize ML-powered search skills that integrate with Rovo's agentic architecture, including query understanding, retrieval, ranking, and answer generationDevelop and maintain production ML pipelines for search relevance, leveraging techniques such as reranking, embedding models, and reinforcement learningDrive end-to-end experimentation — from offline evaluation to online A/B testing — to measure and improve search quality metricsCollaborate with product, platform, and applied science partners to translate user needs into scalable ML solutionsContribute to the team's evaluation infrastructure and data tooling to accelerate iteration