Machine Learning Engineer

Updated: 8 months ago
Location: Adelaide, SOUTH AUSTRALIA
Job Type: FullTime
Deadline: 07 Sep 2020

Job no:504507
Work type:Fixed term - Full-time
Categories:Technical, Laboratory and Research Support, Project Management and Project Support, HEO9

(HEO9) $114,834 to $122,855 per annum plus an employer contribution of up to 17% superannuation may apply

Multiple fixed term positions available immediately, for two years, with opportunity to negotiate flexible work arrangements

Building a career at the Australian Institute for Machine Learning (AIML) offers many rewards, and includes attractive remuneration packages with excellent employee benefits

These exciting new roles provide leadership to a small team, aimed at delivering machine learning systems for challenging real-world problems that will make a difference in people's daily lives.

Managing the complete systems development lifecycle for computer vision and machine learning software solutions, you will scope and plan projects, work with experts to develop machine learning algorithms and take responsibility for the delivery of software to end users. With a successful track record in software development and experience and/or aptitude for produce management, you 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, you will also engage in the development of machine learning systems as a machine learning engineer.

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. AIML is the largest computer vision and machine learning group in Australia with over 120 members including academics, research staff, and students. The institute 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 top venues. The University’s Computer Vision research is amongst the best in the world. Find out more at

Visa sponsorship and an attractive relocation package is available for the right candidates.

Find out more information about working at AIML here opportunities

To be successful you will need:

  • 3+ years’ experience in commercial software development and the desire to gain experience in product management.
  • 3+ years’ experience in a commercial programming language and environment (i.e. Java, .NET, C++).
  • 3+ years’ experience in a data science programming language (i.e. python, R) and toolchain (i.e. PyTorch, Tensorflow, Scikit learn, CARET).
  • Highly developed communications skills both written and verbal with ability to author reports and technical documents describing projects and presentation skills and, the ability to influence and inspire.
  • Strong interpersonal skills including the ability to quickly build successful stakeholder relationships, working collaboratively with a diverse range of people in the research environment and with clients.

Enjoy and 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 vast scope and opportunity for a long, fulfilling career.

It also enables us to attract high-calibre people in all facets of our operations, ensuring you will be surrounded by talented colleagues, many world-leading. 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 core values are honesty, respect, fairness, discovery and excellence. Our culture is one that welcomes all and embraces diversity. We are firm believers that our people are our most valuable asset, so we work to grow and diversify the skills of our staff.

The Faculty of ECMS aims to increase the diversity of its staff population and applications from women are particularly encouraged.  To support our staff and students, the faculty celebrates diversity and has a range of programs and benefits available including:

  • A variety of flexible working arrangements
  • Childcare facilities
  • Women’s professional development network opportunities

In addition, we offer salary packaging; high-quality professional development programs and activities; and an on-campus health clinic, gym and other fitness facilities.

Learn more at:

Your faculty's broader role

The Faculty of Engineering, Computer and Mathematical Sciences is a thriving centre of learning, teaching and research in a vast range of engineering disciplines, computer science - including machine learning - and high-level mathematics. Many of its academic staff are work leaders in their fields and graduates are highly regarded by employers.

We proudly support gender and cultural diversity and are passionate about creating a more vibrant and enriching community of staff and students.

Learn more at:

If you want to change tomorrow, act today

Click the ‘Apply Now’ button to be taken through to our online application form. Please ensure you address and upload your responses to all selection criteria. Applications close 11:55pm, 7 September 2020.

For further information

For a confidential discussion regarding this position, contact:

Dr. Kathy Nicholson
Operations Manager, Australian Institute for Machine Learning
P: +61 (08) 8313 9258

You’ll find a full position description below: (If no links appear, try viewing on another device)

The University of Adelaide is an Equal Employment Opportunity employer. Women and Aboriginal and Torres Strait Islander people who meet the requirements of this position are strongly encouraged to apply.


Download the Position Description Apply now

View or Apply

Similar Positions