About this role
About the team
Join the innovation powerhouse - Content Machine Learning team at Canva! Our vision is to empower all our users with the safest and highest quality content at scale. We build models and human-in-the-loop workflows to amplify our content review efforts so that we can:
Unlock review operations with review automation
Close the loop for feedback to our models and raise the quality bar
Ensure the safety of our library for all our users, including students
Finally, our crazy big goal is to build an automated review system with humans at the heart of operations, leading the continuous improvement and evolution of the system.
What you’d be doing in this role
As Canva scales change continues to be part of our DNA. But we like to think that's all part of the fun. So this will give you the flavour of the type of things you'll be working on when you start, but this will likely evolve.
Research, develop and deploy AI based solutions to automate content moderation and review of Canva’s content
Work with diverse stakeholders to guide the technical vision while being responsible for break-down and delivery of large projects
Design, develop and deploy solutions and hands-on software development – working closely with leads, designers, and product managers
Foster an impactful and healthy team via a healthy code review culture, knowledge sharing, design showcases, and process improvements
Promote a safe and healthy culture with a focus on collaboration and open communication while advocating for engineering needs to non-technical stakeholders within the group
Staying updated on industry trends and best practices to innovate and improve the domain owned by the team.
(optional) Coaching members of your Machine Learning team and help them navigate technical problems.
You're probably a match if
You have at least 5+ years of industry experience in a machine learning engineering role in a Product/SaaS company.
Experience in text, image, video, and audio understanding is highly desirable.
Experience working cross-functionally with Product Managers and other business functions outside of engineering.
Have experience proposing automation initiatives with humans-in-the-loop and seeing things through end-to-end.
What the candidate will learn and how will they develop at Canva:
Deep expertise in large-scale machine learning systems and real-world AI applications
Opportunities to work on high-impact problems affecting millions of users globally
Exposure to cutting-edge ML techniques and evolving content safety challenges
Growth in cross-functional collaboration, technical leadership, and product thinking
The chance to contribute to Canva’s mission of empowering the world to design safely and confidently
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 tooInclusive parental leave policy that supports all parents & carersAn annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & moreFlexible leave options that empower you to be a force for good, take time to recharge and supports you personallyCheck 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