Join the team redefining how the world experiences design. 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.
We also have a campus in Melbourne and co-working spaces in Brisbane, Perth and Adelaide.
But you have choice in where and how you work; we trust our Canvanauts to choose the balance that empowers them and their team to achieve their goals.
What you'd be doing in this role Research, develop and deploy AI based solutions to automate review of Canva library 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. Stay updated on industry trends and best practices to innovate and improve the domain owned by the team. (optional) Lead and coach a motivated machine-learning and backend team and guide members of the team on technical approaches. You're probably a match if You have 5 years of industry experience in a machine learning/software engineering role with a Product/SaaS company, visual AI experience preferred. You have a keen interest or prior experience in content-related machine learning projects, such as 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. (optional) Experience leading a team of engineers building high-performing and collaborative teams, especially leading machine learning projects. (optional) Experience owning and operating services with a healthy balance of delivery leadership, people leadership, and technical skills. 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'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 range 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.
We celebrate all types of skills and backgrounds at Canva so even if you don't feel like your skills quite match what's listed above - we still want to hear from you!
Please note that interviews are conducted virtually.
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