At Atlassian, employees can work from an office, from home, or a combination. We hire people in any country where we have a legal entity, and interviews are conducted virtually as part of our distributed-first approach. We are seeking a Senior Machine Learning Engineer to join the Confluence Cloud AI team. The team builds and deploys ML solutions that drive revenue, expand the active user base, and forecast top-line metrics. You will participate in the full end-to-end ML lifecycle—from problem definition and data preparation to modeling, experimentation, deployment, and iterative improvement. You will design scalable model architectures, develop robust evaluation methods, and translate data-driven insights into practical business outcomes. You will collaborate with stakeholders across Growth, GTM, Product, Finance, and Sales, and you will work with ML and full-stack engineers to build scalable ML infrastructure and applications. You will explain ML concepts to both technical and non-technical audiences and provide technical guidance to junior ML engineers. Atlassian offers competitive, equitable compensation and benefits; pay varies by geographic zone in the U.S., and eligibility for bonuses, commissions, and equity may apply. We are committed to inclusivity and accommodating candidates throughout the recruitment process. For more information on our culture and hiring process, please reach out to our Recruitment team.

At Atlassian, employees can work from an office, from home, or a combination. We hire people in any country where we have a legal entity, and interviews are conducted virtually as part of our distributed-first approach. We are seeking a Senior Machine Learning Engineer to join the Confluence Cloud AI team. The team builds and deploys ML solutions that drive revenue, expand the active user base, and forecast top-line metrics. You will participate in the full end-to-end ML lifecycle—from problem definition and data preparation to modeling, experimentation, deployment, and iterative improvement. You will design scalable model architectures, develop robust evaluation methods, and translate data-driven insights into practical business outcomes. You will collaborate with stakeholders across Growth, GTM, Product, Finance, and Sales, and you will work with ML and full-stack engineers to build scalable ML infrastructure and applications. You will explain ML concepts to both technical and non-technical audiences and provide technical guidance to junior ML engineers. Atlassian offers competitive, equitable compensation and benefits; pay varies by geographic zone in the U.S., and eligibility for bonuses, commissions, and equity may apply. We are committed to inclusivity and accommodating candidates throughout the recruitment process. For more information on our culture and hiring process, please reach out to our Recruitment team.