Machine Learning Engineer, 2025/2026 PHD Intern Australia & New Zealand @ Atlassian

OverviewWorking at AtlassianAtlassians 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.Join Atlassian as an intern and spend your summer with us having an impact on how millions of users collaborate and use software. We're in the business of developing software to help teams everywhere get amazing ideas on the ground and into the world. Sound like an exciting place to start your career? Apply for our Summer 2025/2026 Intern Program and kickstart your career!ResponsibilitiesYour future teamJoin our cutting-edge Machine Learning team at Atlassian as a Machine Learning Intern, where you'll have the opportunity to work on advanced machine learning (ML) and artificial intelligence (AI) technologies, particularly focusing on areas such as Large language models (LLMs), Generative AI, multi-modal Agents and Recommendation Systems. You’ll be part of a team that pioneers innovations to address complex real-world problems, developing state-of-the-art AI solutions that will ultimately drive impact for Enterprises.This program is open to penultimate year PhD students. The internship dates are preferably November 2025 until February 2026, with some flexibility on the dates.QualificationsAbout the Role:As a PhD Machine Learning Intern, you will engage in both foundational research and practical applications, contributing to the development and evaluation of AI models used by millions of customers. You will collaborate with experienced researchers and engineers, gaining insights into industrial research and development, and advancing AI solutions for enterprise impact.Key Responsibilities:Collaborate with Research Scientists and Machine Learning Engineers on research experiments.Manage and preprocess large datasets for machine learning model training.Fine-tune LLMs for specific applications such…

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