As a Principal Machine Learning Engineer, you will drive the development and implementation of cutting-edge machine learning algorithms, training sophisticated models, and collaborating with product, engineering, and analytics teams to build AI functionalities into Atlassian products and services. Your daily responsibilities will encompass a broad spectrum of tasks designing system and model architectures, conducting rigorous experimentation and model evaluations, and providing guidance to emerging ML engineers. Your role is pivotal, ensuring AI's transformative potential is realized across our offerings.Technical Leadership & ExecutionDrive complex decisions that impact the work of teams and change their technical direction over multiple quartersRegularly tackle the largest and most complex problems on the team, from technical design to launchSet the direction of systems and capabilities, balancing progress over perfectionDetermine plans-of-attack on large projects and solve complex architecture challengesModel Development & ExperimentationDesign, develop, and deploy production-grade ML models (e.g., ranking, retrieval, LLM-based systems) to optimize user experience and achieve business objectivesConduct meticulous experimentation and model evaluations, backing decisions with dataDevelop robust feature engineering practices to ingest, process, and serve features for offline training and online inference at scaleOversee end-to-end deployment of ML solutions into production, ensuring continuous evaluation, monitoring, and improvementCross-Functional CollaborationCollaborate closely with product managers, designers, and engineering teams to integrate AI/ML capabilities into productsPartner across engineering teams to take on company-wide programs spanning multiple projectsCommunicate complex technical concepts clearly to both technical and non-technical stakeholdersMentorship & Organizational ImpactMentor and guide junior and senior engineers, fostering a