Machine Learning Engineer, 2026 Phd Graduate Australia & New Zealand

Overview

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.

Responsibilities

About the Role

Join our cutting-edge Machine Learning team at Atlassian as a PhD Machine Learning Graduate, 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 and multi-modal Agents. 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.

As a PhD graduate, you will gain hands-on experience in both foundational research and practical applications, contributing to the training and evaluation of AI models and enhancing AI experiences that could be used by millions of customers. You will collaborate closely with experienced researchers and engineers to push the boundaries of what’s possible with AI, while gaining invaluable insights into industrial research and development.

Your future team

Join Atlassian as a graduate and have an impact on how millions of users collaborate and use software.

You will report to a manager in the AI Experience team within the broader Central AI group. The team is tasked to improve the quality of AI features across Atlassian’s products, focused on the AI editor and summarisation experiences. The team consists of ML engineers and back-end software engineers, and partners with platform and front-end engineering teams.
This program is open to final year university students with Australian or New Zealand citizenship or Permanent Residency.

As a Machine Learning graduate you will:

• Collaborate with Research Scientists and Machine Learning Engineers to contribute to the design and execution of research experiments aimed at improving the performance, efficiency, and scalability of ML models.

• Curate, preprocess, and manage large datasets for training and evaluation of machine learning models, including LLMs.

• Execute continued training, alignment or fine-tuning of LLMs for specific applications such as Generative AI features, summarization and multi-modal agents.

• Evaluate advanced ML algorithms, providing detailed reports on model performance, strengths, and areas of improvement.

• Publish research in internal and external industry workshops and in top-tier academic journals or conferences to spearhead innovation in the field of Enterprise AI and ML.

Qualifications

Your background

• Currently pursuing a PhD in Computer Science or a related field.

• Anticipated degree completion between November 2024 and November 2025

• Strong foundation in AI/ML, LLMs, modelling and/or optimization techniques.

• Exhibit a solid grasp of algorithms and data structures.

• Demonstrate proficiency in Python programming and ability to write clean, efficient, and well-documented code.

• Experience working with large-scale datasets, including data preprocessing, augmentation, and scaling techniques.

• Has expertise in managing data using Python libraries such as NumPy, Pandas, Matplotlib, in addition to leveraging models from Hugging Face and has practical knowledge of applied machine learning and deep learning frameworks, like PyTorch.

• Demonstrated exposure to natural language processing (NLP) and Computer Vision (CV)

• Familiarity with state-of-the-art research in machine learning and AI, as evidenced by relevant coursework, publications, or projects.

• Strong communication skills to articulate complex ideas and collaborate with multidisciplinary teams.

Our perks & benefits

Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits.

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.