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Atlassian supports distributed work, allowing Atlassians to work in office, from home, or hybrid, and hires globally where it has a legal entity with virtual interviews and onboarding. Its mission is to unleash the potential of every team, with product lines like Jira, Confluence, and Bitbucket that enable collaboration and have powered achievements such as NASA's Mars Rover and Cochlear's hearing technology. The Central AI Org drives AI innovation across Atlassian products, aiming to deliver horizontal AI capabilities and infrastructure, plus a centralized Search, Q&A, and Conversational AI system, while exploring AI integrations beyond Atlassian. The AI & ML Platform Team seeks to democratize AI by building productive, secure tools that support development, deployment, measurement, and operation of AI/ML alongside the Atlassian Data Platform. As a Principal ML System Engineer, you will partner with Jira and Confluence teams to solve ML challenges, curate datasets, fine-tune LLMs or access proprietary LLMs, and lead projects from design to launch, with requirements including 5+ years in ML infra, end-to-end ML lifecycle, MLOps, large-scale distributed systems, Python and ML frameworks, plus cloud and big data experience and GenAI/RAG expertise.

Atlassian supports flexible, distributed-first work with options to office, home, or hybrid, and it hires globally with virtual interviews and onboarding. Atlassian's mission to unleash the potential of every team is realized through products like Jira, Confluence, and Bitbucket that enable collaboration across industries and help teams achieve their highest potential. The Central AI Org is tasked with driving AI innovation across all Atlassian products, building horizontal AI capabilities, and creating a centralized Search, Q&A, and Conversational AI system, while exploring AI integrations beyond the Atlassian ecosystem. The AI & ML Platform Team aims to democratize AI by delivering tools that enable Atlassian teams, customers, and the ecosystem to develop, deploy, monitor, and operate AI/ML, with seamless integration into the Atlassian Data Platform and a focus on security and data usage policies. The Principal Machine Learning System Engineer role involves leading core ML infrastructure, collaborating with product teams like Jira and Confluence, curating datasets, fine-tuning LLMs, and driving end-to-end ML lifecycle work—design, implementation, deployment, and mentoring—requiring 5+ years of ML infra experience, MLOps, distributed systems, Python and ML frameworks, cloud and big data skills, and GenAI expertise.

Atlassian allows employees to work from the office, home, or a mix, giving flexibility to support family and personal goals, and they hire in any country with a legal entity. In this role, you will develop and execute a sales strategy to drive revenue growth for the Atlassian Service Collection in the North Asia market. You will define and implement a clear vision for your territory and regularly plan/communicate funnel, account, and territory status, resource needs, challenges, and successes. You'll collaborate with cross-functional teams (Enterprise Advocate, Marketing, Customer Success, and Product) to ensure customer satisfaction and retention, and represent the Service Collection at industry events and conferences. You'll provide accurate sales forecasts and reports to senior management in Australia, work closely with Atlassian partner management and partners ranging from large IT service providers to other firms, and be among the first hires of the Solution Sales Executive team for Service Collection in Singapore.

1) Atlassian offers flexible work options and hires globally with virtual interviews and onboarding as part of its distributed-first approach. 2) Atlassian's mission is to unleash the potential of every team, with products like Jira, Confluence, and Bitbucket that enable collaboration across industries, as illustrated by examples such as NASA's Mars Rover and Cochlear. 3) The Central AI Org is dedicated to AI innovation and building a robust AI infrastructure, including a centralized search, Q&A, and conversational AI system that integrates with all Atlassian products and potential external integrations. 4) The AI & ML Platform Team aims to democratize AI by delivering tools to develop, deploy, measure, and operate AI/ML experiences that integrate with the Atlassian Data Platform while enforcing security and data usage policies. 5) The Principal Machine Learning System Engineer role focuses on creating core ML infrastructure, collaborating with Jira/Confluence teams, curating datasets, fine-tuning LLMs, and leading end-to-end ML projects, requiring 5+ years of ML infra experience, end-to-end lifecycle expertise, large-scale distributed systems, Python and ML frameworks, MLOps, cloud and big data skills, GenAI/RAG experience, and mentoring across teams.

Atlassian offers flexible work arrangements, allowing employees to choose between office, remote, or hybrid settings to better balance personal and professional priorities. The Central AI Organization focuses on advancing AI technology within Atlassian's products, aiming to create a seamless AI infrastructure and improve integration across various platforms. The AI & ML Platform Team is dedicated to making AI and Machine Learning accessible for Atlassian’s ecosystem by developing robust tools for creating and managing ML experiences while ensuring compliance with security policies. The Senior ML System Engineer role involves collaborating with product teams and addressing challenges in building machine learning solutions, while also guiding projects from design to launch. Candidates should have extensive experience in ML systems, cloud infrastructure, and scalable systems, with a preference for proficiency in languages like Python and familiarity with AI frameworks.

Atlassian offers flexible work arrangements for its employees, allowing them to work from home, in the office, or a combination of both. The company conducts virtual interviews and onboarding, emphasizing its distributed-first approach and global hiring capabilities. Atlassian is focused on enhancing team potential through significant investments in Generative AI, and is seeking a Senior Machine Learning Engineer to join its GenAI Modeling & Innovation Forge in Singapore. The role involves developing advanced GenAI models, quickly prototyping innovative AI-driven applications, and collaborating with other teams to refine ideas and establish best practices. Successful prototypes are intended to transition into scalable, production-ready solutions that enhance user experiences.

Atlassian offers flexible work arrangements, allowing employees to choose between office, home, or hybrid environments to better manage their personal and family priorities. As a distributed-first company, they conduct interviews and onboarding virtually and hire individuals from various countries. Atlassian is focused on harnessing the potential of teams through substantial investments in Generative AI, aiming to enhance collaboration and innovation. They are seeking a Senior Machine Learning Engineer for their GenAI Modeling & Innovation Forge in Singapore, tasked with developing advanced AI models and building proof-of-concept systems. The role involves collaborating with various teams, conducting experiments, and supporting the transition of successful prototypes into scalable solutions.