Senior Machine Learning Engineer - Content Review
Job Description
Company 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. We also have a campus in Melbourne and co-working spaces in Brisbane, Perth and Adelaide. But you have a choice in where and how you work. That means if you want to do your thing in the office (if you're near one), at home or a bit of both, it's up to you.
About the Group/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.
Job Description
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.
Qualifications
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.
Prior 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.
Additional Information
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.
