Machine Learning Engineer

2 days ago


Whyalla, Australia The University of Adelaide Full time

Job Description:

We are seeking a Machine Learning Engineer I to support and contribute to a variety of machine learning products, prototypes, demonstrators, and libraries. The role offers rapid feedback from both the team and the client, creating a fast-paced and collaborative environment. Responsibilities may include data exploration, visualization, model training and evaluation, application development, systems monitoring, and deployment to cloud or edge platforms.

The engineer will be part of a multidisciplinary team guided by leading experts in Machine Learning, Computer Vision, and Human-Computer Interaction. Team leads will provide the theoretical framework, while the engineer will focus on implementing and translating that theory into functional applications.

Responsibilities and Requirements:

- Knowledge of commercial programming language and environment (i.e. Java, .NET, C++)
- Competence in a data science programming language (i.e. python, R) and toolchain (i.e. PyTorch, Tensorflow, Scikit learn, CARET)
- Experience translating research code into production code is a strongly desired bonus
- An understanding of how systems are built, orchestrated, tested, and automated
- Excellent communication skills, both written and verbal

About Us:

The Australian Institute for Machine Learning (AIML) is Australia’s leading research institute in machine learning, artificial intelligence and computer vision. With world-leading researchers, modern facilities and an innovative culture, we're committed to delivering research that is highly valued by our local and global communities.

What We Offer:

We offer a uniquely rewarding workplace with attractive staff benefits, including salary packaging, flexible work arrangements, and high-quality professional development programs.

Equal Employment Opportunity:

We are an Equal Employment Opportunity employer committed to providing a working environment that embraces and values diversity and inclusion. Female applicants, people with a disability and/or and Aboriginal and Torres Strait Islander people who meet the requirements of this position are strongly encouraged to apply.

How to Apply:

Click on the ‘Apply Now’ button to be taken through to the online application form. Please ensure you submit a cover letter, resume, and upload a document that includes your responses to all of the selection criteria for the position.

Applications Close: 11:55pm, Sunday 12th of October 2025.

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