Machine Learning Engineer Training & Dataset Platform (AU remote)

About the Group/Team

In the AI Platform group AI Capabilities / Dataset & Training Platform we build the underlying systems that enable teams across Canva to develop and improve AI features at scale. We focus on making high-quality training data easier to create manage and evaluate while keeping trust safety and reliability front-and-centre. We partner closely with ML engineers applied scientists product teams and platform teams to unblock development and lift the baseline for how AI is built at Canva. Our work creates leverage: when we ship many teams ship faster and safer.

About the Role/Specialty

As a Machine Learning Engineer youll work at the intersection of ML data systems and platform engineering to help build and improve the datasets and tooling that enable training and evaluation. Were looking for someone who enjoys rolling up their sleeves to solve real problems improving data quality pipeline reliability and developer workflows. Youll contribute to systems that make it easier for teams to run experiments iterate on models and measure improvements over time. Your work will directly impact the speed and quality of AI development across Canva.

What youll do (responsibilities)

• Youll build and improve data pipelines dataset tooling and platform components that support ML training and evaluation.

• Youll partner with ML and applied science teams to translate training/evaluation needs into scalable platform solutions.

• Youll implement quality controls (validation monitoring testing) to improve trust in data and pipeline outcomes.

• Youll debug issues across data ML workflows driving root-cause fixes and preventing repeat incidents.

• Youll contribute to engineering standards: code quality documentation and operational readiness.

• Youll support iteration velocity by improving developer experience for dataset discovery usage and experimentation.

What were looking for

Were looking for a pragmatic engineer who enjoys solving messy real-world ML/data problems and shipping improvements that stick. You have solid foundations in ML engineering and data systems and you care about making workflows reliable measurable and easy for others to use. You communicate clearly collaborate well across disciplines and take ownership of delivering outcomes (not just tasks). Most importantly youre excited to build platform capabilities that help Canvas AI teams move faster while keeping quality and trust high.

• Youre comfortable & have demonstrated experience working with large datasets and understand data preprocessing feature engineering and evaluation techniques
• You have strong programming skills (e.g. Python) and experience with ML frameworks (e.g. TensorFlow PyTorch)
• You enjoy solving complex problems and thinking critically about model performance and trade-offs
• Youre a collaborative team player who communicates clearly with both technical and non-technical stakeholders
• Youre excited about working in a fast-paced product-driven environment and contributing to impactful AI solutions

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