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Senior Machine Learning Systems Engineer - Search
Atlassian · Remoto Brasil · Flexible / Remote
Publicada em 10/10/2026
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Search Platform's mission is to power world-class, trusted cross-product knowledge search and discovery for people and agents across all of Atlassian's product and agentic surfaces. We are looking for a product-minded ML systems leader with deep expertise in applied machine learning and production ML infrastructure.As a Senior Machine Learning Systems Engineer, you'll be at the intersection of search, machine learning and experimentation. You will work directly with cross-functional teams to deliver innovative, ML-powered solutions that directly impact millions of customers.Collaborate with your teammates to solve complex problems, from technical design to launch.Partner across engineering teams to take on company-wide initiatives spanning multiple projects.Build proof-of-concept (POC) systems and evolve them into reliable, scalable services.Contribute to best practices in model deployment, monitoring, and evaluation.Work closely with other ML engineers, backend developers, and product teams to ship end-to-end innovations.Develop robust feature engineering practices to ingest, process, and serve features for offline training and online inference at scale.Develop and deploy ranking models to optimize ranking to improve the user experience and achieve business objectivesDevelop tools and infra to support rapid experimentation, evaluation, and deployment of prototypesOptimize latency, throughput, and resource efficiency for search workloads.Transfer your depth of knowledge from your current language to excel as a Software EngineerCommunicate complex technical concepts clearly to both technical and non-technical stakeholders, creating concise artifacts for peers, partners, and leadership.Deliver code reviews, documentation & bug fixes within a strong engineering cultureMentor junior members of the team.8+ years experience in multiple hands-on software/technology leadership roles, with end-to-end responsibility through the software development lifecycleProven experie
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