Software Engineer (Machine Learning)

Job no: 499537
Work type: Fixed term - Full-time
Campus: Adelaide
Categories: Faculty of Engineering, Computer & Mathematical Sciences, HEO9

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Attractive remuneration package on offer (negotiable) to the successful candidate. Total salary package offered will depend on qualifications and experience.

Two year fixed-term contract (Extendable subject to funding and performance)

Work with experts to develop machine learning algorithms, test, deliver and maintain software systems work with leaders in artificial intelligence.

Reporting to the Lead Software Engineer (Machine Learning), the Software Engineer will form part of a small team of software engineers working with experts to develop machine learning algorithms, test, deliver and maintain software systems work with leaders in artificial intelligence. The successful applicant will write production code, crunch data with machine learning algorithms, and work in a team to deliver machine learning systems.

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 computer vision and machine learning group in Australia with over 110 members including academics, research staff and 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 top venues.  The University’s Computer Vision research is amongst the best in the world.  

To be successful you will need to have:

  • Experience as a software developer in industrial software engineering, proficiency in one or more of Linux OS, C++, Java, Python;
  • Strong algorithmic coding skill and solid knowledge of data structures;
  • An understanding of machine / statistical learning techniques such as non-linear regression, kernel regression, support vector machines (SVM), neural networks, classification trees and similar techniques;
  • The ability to work collaboratively as a team member in an agile team environment and meet deadlines to myriad projects and be able to communicate effectively to stakeholders at all levels;
  • Well developed communications skills: written and verbal with ability to write reports and technical documents describing projects.

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 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. And 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. And 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.

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: https://www.adelaide.edu.au/jobs/

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 world leaders in their fields, and graduates are highly regarded by employers.

Learn more at: https://ecms.adelaide.edu.au/

If you want to change tomorrow, act today

Click the link to the online application form below and address and upload your responses to the seven selection criteria listed in the position description. Please ensure your cover letter and selection criteria responses are contained in one document of no more than two pages.

Applications close 11:55pm (ACST) 23 December 2018. Interviews will be scheduled for week commencing the 14th of January, 2019.

Please note

Along with an attractive salary package, The University of Adelaide offers outstanding work-life balance and flexibility and a commitment to respecting and embracing diversity. International and interstate travel may be required and funding for relocation may be available.

For further information

For a confidential discussion regarding this position, contact:

Mr Ian Will
Operations Manager, AIML
E: aiml@adelaide.edu.au

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.

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Download the Position Description Apply now

Advertised: Cen. Australia Daylight Time
Applications close: Cen. Australia Daylight Time

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