HEO10) $141,610 to $150,927 per annum plus an employer contribution of up to 17% superannuation applies.
Fixed Term position for 3 years.
Building your career at the Australian Institute for Machine Learning (AIML) offers many rewards.
The State Government of South Australia and the University of Adelaide have co-invested in an Australian Institute for Machine Learning (AIML). The AIML is the largest University-based computer vision and machine learning group in Australia with over 200 members including academics, engineers, and HDR students.
The AIML works on a mixture of fundamental and commercially orientated research projects in computer vision and machine learning, with a strong track record of publication in the AI top venues. The University's Computer Vision research is amongst the best in the world.
Working under broad direction
With a high overall degree of autonomy, the Principal Engineer will manage a significant and complex suite of projects and lead a small team to deliver machine learning systems for challenging real-world problems that will make a difference in people's daily lives. They will be heavily involved in the complete development lifecycle for computer vision and machine learning software solutions including scoping and planning projects, and taking responsibility for delivery of software to end users. In this multifaceted role, the successful applicant will also engage in the development of machine learning systems as a machine learning engineer.
To Be Successful You Will Need
5+ years' experience in commercial software development and product management 5+ years' experience in a commercial programming language and environment (i.e. Java, .NET, C++) and also in a data science programming language (i.e. Python, R) and toolchain (i.e. PyTorch, Tensorflow, Scikit-learn, CARET) Strong software design and architecture skills, including a deep understanding of how systems are built, orchestrated, tested, and automated Experience in cloud-based software development, automation, monitoring and orchestration (e.g., Kubernetes, Google Cloud, Terraform, Ansible) Demonstrable experience developing, testing, and operationalising machine learning products into such an environment Experience in the end-to-end delivery of user-facing systems that have a machine learning element to them Please note, the successful candidate will be involved in the administration or execution of defence related activities.
Enjoy an outstanding career environment
The University of Adelaide is a uniquely rewarding workplace. The size, breadth and quality of our education and research programs - including significant industry, government and community collaborations - offers you a vast scope and opportunity for a long, fulfilling career.
Our work's cutting-edge nature - not just in your own area, but across virtually the full spectrum of human endeavour - provides a constant source of inspiration.
Our culture is one that welcomes all and embraces diversity consistent with our Staff Values and Behaviour Framework and our Values of integrity, respect, collegiality, excellence and discovery. We firmly believe that our people are our most valuable asset, so we work to grow and diversify the skills, knowledge and capability of all our staff.
We embrace flexibility as a key principle to allow our people to manage the changing demands of work, personal and family life.
In addition, we offer a wide range of attractive staff benefits. These include: salary packaging; flexible work arrangements; high-quality professional development programs and activities; and an on-campus health clinic, gym and other fitness facilities.
Learn more at: adelaide.edu.au/jobs
Your faculty's broader role
The Faculty of Sciences, Engineering and Technology is a multidisciplinary hub of cutting-edge teaching and research. Many of its academic staff are world leaders in their fields and graduates are highly regarded by employers. The Faculty actively partners with innovative industries to solve problems of global significance.
Learn more at: Faculty of Sciences, Engineering and Technology | University of Adelaide
If you have the talent, we'll give you the opportunity. Together, let's make history.
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 as contained in the position description or selection criteria document.
Applications will close 11:55pm (AEDT) Monday 3 February 2025. The University reserves the right to close this advertisement before the closing date if a suitable candidate is identified.
For further information
For a Confidential Discussion Regarding This Position, Contact:
Kathy Nicholson
Institute Manager, AIML
Australian Institute for Machine Learning (AIML)
The University of Adelaide
You'll find a full position description and/or selection criteria below: (If no links appear, please try viewing on another device)
The University of Adelaide is 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 Aboriginal and Torres Strait Islander people who meet the requirements of this position are strongly encouraged to apply. If you have any support or access requirements, we encourage you to advise us at the time of application.
Download the Position Description Apply now
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