Job Description

Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.Atlassian is seeking a Principal Machine Learning Engineer to join our Central AI team located in Sydney Australia. The Central AI organization constructs the fundamental infrastructure, data pipeline, frameworks, models, and other capabilities to expedite AI feature development throughout the entire company.Your Future TeamThe Central AI org is part of the larger Atlassian Intelligence and Rovo program. Its purpose is to accelerate AI innovation across all our products and platform, provide cohesive AI experiences and setup up an Atlassian AI infrastructure for the future.While it's anticipated that the majority of AI-driven initiatives will be developed and executed by federated product teams within Atlassian, the role of Central AI is pivotal to this process. Central AI is tasked with constructing the underlying infrastructure and capacities, which are crucial for the seamless integration and optimal functionality of AI across various departments. By doing so, Central AI ensures that different teams within the organisation do not work in silos but have access to a unified foundation that promotes efficiency and collaboration. Additionally, Central AI is responsible for developing some of the core shared experiences typical in the AI domain, such as search, knowledge discovery and conversation.Responsibilities:What you’ll doAs a Principal Machine Learning engineer, you will drive the development and implementation of cutting edge machine learning algorithms, training sophisticated models, 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 such as designing system and model architectures, conducting rigorous experimentation and model evaluations, and providing guidance to emerging ML engineers. Your role is pivotal, stretching beyond these tasks, ensuring AI's transformative potential is realised across our offerings.