Machine Learning Engineer Content Safety Platform (AU remote)

About the Group

The Trust & Safety (T&S) Group vision is to empower everyone to feel safe in trusting Canva. To safeguard our community our T&S engineering teams build technologies to protect user safety (including but not limited to their account content data and privacy) and to prevent detect and mitigate abuse and fraud that could compromise the trust people have in Canva such as unacceptable content bots account takeovers and other abuse vectors.

Within T&S the Content Safety Platform team specializes in building safety systems for AI-generated content. As Canva rapidly expands its AI capabilities our team ensures these powerful creative tools remain safe trustworthy and compliant. We develop sophisticated ML-based moderation systems bias mitigation solutions IP detection frameworks and responsible AI safeguards that operate at scale. This team sits at the intersection of cutting-edge AI innovation and critical safety engineering.

About the Role

Youll build the foundational safety infrastructure that powers trust across all of Canvas AI features. Were a platform teamour mission is to provide product teams with the tools models and systems they need to safely launch AI-generated content features at scale. Whether its Magic Media conversational AI or future capabilities product teams rely on our platform to detect harmful content prevent IP violations mitigate bias and ensure compliance across multiple modalities of content.

In this role youll own significant ML initiatives that directly enable other teams to move faster while staying safe. Youll build reusable safety models create scalable evaluation frameworks and develop infrastructure that serves multiple products. This is a high-impact position where your work becomes the safety foundation for Canvas AI innovationbalancing cutting-edge ML techniques with the operational rigor required to protect millions of users. Youll collaborate closely with AI product teams Legal and Product Policy to deliver solutions that meet both product and compliance needs.

What youll do (responsibilities):

• Own end-to-end delivery of ML-based safety features from technical design through production rollout and iteration

• Build and maintain ML models that safeguard AI-generated content across multiple modalities (images video audio text) detecting harmful content IP violations bias and other safety concerns

• Design and implement RAG (Retrieval-Augmented Generation) architectures and other advanced ML systems to enhance detection capabilities

• Fine-tune and evaluate LLM-based models for content moderation and prompt filtering making data-driven decisions about model selection and optimization

• Collaborate with Legal Product Policy and AI product teams to define requirements balance safety with user experience and deliver compliant solutions

• Create evaluation frameworks to measure model quality safety coverage false positive/negative rates and policy alignment

• Monitor production systems respond to incidents and maintain operational excellence through documentation and runbooks

What were looking for:

Youre a machine learning engineer with a proven track record of delivering ML-powered features in production. You bring technical expertise across the ML lifecyclefrom data wrangling and model development to evaluation deployment and monitoring. Youre comfortable operating independently while collaborating with cross-functional teams and youre motivated by user impact and product outcomes.

• Strong bias for action and product-minded approach to engineering

• Hands-on engineer who loves working alongside software engineers writing Python production code (Java/Kotlin backend experience is a plus) and solving complex problems

• Experience building and deploying ML systems using modern architectures including LLMs and RAG

• Comfortable influencing roadmap decisions and navigating ambiguous problem spaces

• Passionate about the rapidly evolving AI landscape and proactive about experimenting with emerging techniques

Additional Information :

Dont tick all the boxes Dont worry about that - nobody does!  

Wed still love to hear from you! At Canva we know that great engineers come from a variety of backgrounds and we value passion curiosity and a willingness to learn just as much as specific experience. If youre excited about this role but dont tick every box we encourage you to apply you might a great fit in ways you didnt expect!

Whats in it for you

Achieving our crazy big goals motivates us to work hard - and we do - but youll experience lots of moments of magic connectivity and fun woven throughout life at Canva too. We also offer a stack of benefits to set you up for every success in and outside of work.

Heres a taste of whats on offer:

• Equity packages - we want our success to be yours too
• Inclusive parental leave policy that supports all parents & carers
• An annual Vibe & Thrive allowance to support your wellbeing social connection office setup & more
• Flexible leave options that empower you to be a force for good take time to recharge and supports you personally

Check out   for more info.

Other stuff to know

We make hiring decisions based on your experience skills and passion as well as how you can enhance Canva and our culture. When you apply please tell us the pronouns you use and any reasonable adjustments you may need during the interview process.

All interviews are conducted virtually

Remote Work :

Yes

Employment Type :

Full-time