AI / ML Engineer at Seek Australia
Melbourne, Victoria, Australia -
Full Time


Start Date

Immediate

Expiry Date

30 Nov, 26

Salary

0.0

Posted On

01 Sep, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Industry

Information Technology & Services

Description

Want to deliver tech with purpose, with people who care?

Join us in our mission to create solutions that help keep children safe online.

Who are we?

Headquartered in Perth, Australia, with offices around the world, Qoria is an ASX-listed global leader in child digital safety technology and services. We are a purpose-driven business operating under the Linewize brand in North America and Asia Pacific, the Smoothwall brand in the UK, the Qustodio brand in EMEA, and Qoria LK in Sri Lanka.

Our solutions are used by schools, school districts, and parental communities to protect children from harmful online content, identify students at risk based on their digital behaviours, and help teachers maintain focus and safe learning environments in the digital classroom. Today, 30,000 schools and 7 million parents rely on our solutions to help keep 25 million children safe across 180 countries worldwide.

What’s the opportunity ?

A highly skilled AI/ML Engineer to design, develop, and deploy scalable machine learning solutions that drive intelligent decision-making across our systems. This role bridges the gap between data science and software engineering, focusing on building robust, production-ready AI applications and pipelines. You will work closely with cross-functional teams to operationalise machine learning models, ensure system reliability, and continuously improve performance through monitoring and optimisation.

Here’s how you’ll do it:

  • Design, develop, and maintain AI/ML-enabled applications and software systems, including predictive analytics,natural language processing (NLP), Image Processing and automated decision-making systems
  • Analyse and evaluate system requirements to integrate AI models and ensure alignment with business and technical objectives
  • Develop, test, debug, and optimise AI and ML Models and pipelines, ensuring robust, scalable, and high-performance AI/ML models and systems
  • Integrate AI/ML models into production environments, including APIs, microservices, or batch processing workflows
  • Monitor AI/ML system performance, including model drift detection, inference accuracy, and operational reliability

Why choose Qoria:

In this role, you can expect:

  • Employee stock options.
  • Enhanced holiday & family leave.
  • Tech Allowance
  • and much more.

More importantly, you’ll:

  • Deliver tech with purpose…

As part of our Engineering team, your work truly matters. Your creativity, organisational skills and understanding of our tech customers’/clients’ needs will help grow and nurture our membership. This means helping more children stay safe online.

  • With people who care...

You’ll work among a tight-knit team of professionals who share your passion for enabling safe online environments. We all take ownership of our work, end to end. And at the same time, we really care about growing and winning together.

  • Through work that you love...

Being an AI / ML Engineer takes skill, energy and resilience. It can also be incredibly rewarding. Here, your efforts will be visible and you’ll love the impact you have.

  • And a career that you own.

A proven career path forward, with real opportunities to progress your career into other teams and departments within the company. Regular company wide lunch and learn sessions.

We’d love to hear from you. Please submit your application if you would like to be considered for this opportunity.

Employer questions

Your application will include the following questions:

  • Which of the following statements best describes your right to work in Australia?
  • How many years' experience do you have as a Machine Learning Engineer?
  • How much notice are you required to give your current employer?
  • Have you worked in a role which requires experience with machine learning techniques?

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities
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