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

Working at Atlassian

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.

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!

Your future team

Join 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 and final year PhD students. The internship dates are flexible.

About 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 as Generative AI features.
• Evaluate and report on advanced ML algorithms.
• Publish research in industry workshops and top-tier academic journals.

Required Qualifications:

• Currently pursuing a PhD in Computer Science or a related field, with degree completion anticipated between January 2026 and June 2026.
• Strong foundation in AI/ML, LLMs, and optimization techniques.

Desired Skills:

• Proficiency in Python programming and data management using libraries such as NumPy and Pandas.
• Experience with large-scale datasets and ML frameworks like PyTorch.
• Exposure to NLP and Computer Vision.

Application Process:

If you are enthusiastic about AI and eager to contribute to transformative technology, we encourage you to apply. Please submit your resume a detailing your experience and interest in the role.

Our perks & benefits

Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit go.atlassian.com/perksandbenefitsto learn more.

About Atlassian

At Atlassian, we’re motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.

We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone’s perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.

To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.

To learn more about our culture and hiring process, visit go.atlassian.com/crh.