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Senior Machine Learning Systems Engineer

Atlassian · Auckland, New Zealand

Publicada em 19/09/2026

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About AtlassianAtlassian's mission, "to unleash the potential of every team," serves as the foundation of everything we do. We have developed well-known collaborative products, such as Jira, Confluence, and Bitbucket, that fit into the fabric of teamwork across different types of teams and the processes to help every team succeed.Atlassian helps teams everywhere change the world. Our products power revolutions across many industries, enabling teams to collaborate effectively and achieve their highest potential. Take, for example, NASA launching the Rover on Mars or Cochlear gifting those born deaf with the ability to hear. Your work directly impacts the products they use to promote humanity.In this role, you will be joining the Central AI Org and more specifically the AI & ML Platform team.About Central AI OrgOur organization is dedicated to driving AI innovation across all Atlassian products and platforms. We aim to deliver seamless AI experiences while establishing a robust Atlassian AI infrastructure for the future. Our purpose is to:Develop horizontal AI capabilities and infrastructure that can be leveraged across all products.Establish a centralized Search, Q&A, and Conversational AI system that integrates seamlessly with all Atlassian products.Explore the integration of Atlassian products with AI solutions beyond the Atlassian ecosystem.About AI & ML Platform TeamOur team's goal is to build the foundations to democratize AI and Machine Learning for Atlassian's teams, customers, and ecosystem. We aim to build productive and reliable tools that empower Atlassian teams to harness the power of AI. These tools will facilitate the development, deployment, measurement, and operation of AI & ML experiences.Our tools are designed to integrate seamlessly with other Atlassian platforms, including the Atlassian Data Platform. This integration enables teams to efficiently and swiftly incorporate AI and ML capabilities into their workflows while strictly adh
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