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Staff Machine Learning Engineer - Product Insight Enablement (AU remote)

Canva

Sydney, , Australia permanent

Posted: April 27, 2026

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Quick Summary

Join the team redefining how the world experiences design, with a focus on product insight enablement. The ideal candidate will be responsible for leveraging machine learning expertise to drive business outcomes in the design space. Key skills required include data analysis, programming skills, and a passion for design.

Job Description

Join the team redefining how the world experiences design.

Hey, g'day, mabuhay, kia ora,你好, hallo, vítejte!

Thanks for stopping by. We know job hunting can be a little time consuming and you're probably keen to find out what's on offer, so we'll get straight to the point. 

Where and how you can work

Our flagship campus is in Sydney, with a second campus in Melbourne and co-working spaces in Brisbane, Perth, & Adelaide. You have flexibility in how and where you work — whether that's from one of our spaces, from home, or a mix of both. This role is remote-friendly within Australia, so you can choose the setup that empowers you and your team to do your best work.

About the Group/Team

We’re the Product Insights Enablement group — or PIE for short — and we’re on a mission to unlock smarter, faster product development at Canva. PIE owns "Pilot," our internal platform that brings together our in-house experimentation tooling, feature flags, metrics, and, most recently, a feature catalogue: a canonical view of every feature in Canva, with out-of-the-box business and quality metrics for product teams.

We’ve built a strong foundation of data and measurement over the years, but we’re at a point now where we’re not just here to deliver more data — we're here to unleash the next era of Canva’s product evolution. We’re building novel capabilities that combine qualitative and quantitative insights, lean into the power of AI, and empower teams to make more confident, impactful product decisions. We’re a fast-growing group of FE/BE engineers, PMs, designers and data scientists/analytics engineers. And we’re excited to open up this role to help accelerate us towards this vision, and to co-create it.

About the Role/Specialty

As a Staff Machine Learning Engineer, you’ll bring deep technical expertise to design and scale AI/machine learning systems that power product insights and decision-making. You’ll work across large teams to develop intelligent models, experimentation frameworks, and data-driven capabilities that unlock new opportunities for Canva’s product ecosystem. This role is both hands-on and strategic — you’ll solve complex problems, influence technical direction, and collaborate with cross-functional partners to drive impact at scale. Your work will directly shape how Canva leverages data and AI to help teams cut through the noise and suggest the most impactful next steps.

What you’ll do (responsibilities)

• You’ll design, build, and deploy scalable machine learning models and AI systems that power product insights for Pilot, our internal platform. This includes surfacing relevant insights and make recommendations to users of Pilot based on available data to identify the most impactful next step.

• You’ll collaborate with cross-functional teams to identify and solve complex product and data challenges

• You’ll lead technical initiatives that improve our existing product such as A/B testing, and broader decision-making and insights capabilities.

• You’ll mentor engineers and data scientists to elevate technical standards across the team and scale AI usage in our product to automate non deterministic capabilities

• You’ll proactively identify opportunities to leverage AI/ML to unlock new product value

• You’ll balance technical excellence with business impact, ensuring solutions are scalable and practical

• You’ll contribute to the evolution of Canva’s ML infrastructure and tooling

• Operate as a technical leader across ML systems, not just a contributor - own the design and evolution of large-scale ML platforms or problem spaces end-to-end, setting direction, making high-impact architectural decisions.

What we're looking for

We’re looking for a highly experienced machine learning engineer who thrives in solving complex, ambiguous problems and is motivated by driving real-world impact. You bring deep expertise in building and deploying AI/ML systems at scale, combined with strong engineering fundamentals. You’re comfortable working cross-functionally, influencing stakeholders, and shaping technical direction. You care deeply about data quality, experimentation, and delivering measurable outcomes.

Most importantly, Pilot is an expanding internal application that supports approximately 5,000 employees. We're looking for someone enthusiastic about empowering teams with valuable insights and making a meaningful contribution to Canva’s mission.

Don't tick all the boxes? Don't worry about that - nobody does!  

We’d 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 you're excited about this role but don’t tick every box, we encourage you to apply, you might a great fit in ways you didn’t expect!

What's in it for you?

Achieving our crazy big goals motivates us to work hard - and we do - but you'll 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.

Here's a taste of what's 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  lifeatcanva.com 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

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