What are the responsibilities and job description for the Staff Machine Learning Engineer - User Voice (Remote across Australia & New Zealand) position at Canva?
Staff Machine Learning Engineer - User Voice (Remote across Australia & New Zealand)
- Full-time
- Recruitment type : Permanent
Please note this role is open to candidates willing to relocate to Australia or New Zealand.
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 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.
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.
At the moment, in this role you will
You're probably a match if
About User Voice
At Canva, we believe that supporting our users is a thrilling and intricate puzzle to solve. Our mission is to ensure that every user feels empowered and heard, especially when we're aiming to scale our user base to an incredible 1 billion users! That's where our User Voice super team comes in, acting as the vital link between our users and Canva's most valuable partners.
Our teams work hard to deliver an outstanding customer experience, including streamlined systems, optimised contact flows, and expert support specialists. We also provide tools like our Help Center, Assistant, and Chatbot to enable our users to help themselves. We’re making sure every user can instantly solve their issues or find answers to their questions.
About the team
We are revolutionising the way users interact with our platform! As a member of our team, you will have the opportunity to work on a cutting-edge natural language understanding system that seamlessly integrates into Canva, enabling users to find help easily.
We are proud to have recently released a milestone of our LLM-powered help system for customer support, and we are the first conversational AI product at Canva!
We embrace a remote-friendly work environment, allowing you the flexibility to work from anywhere in Australia. With team members located in Australia, New Zealand, the Philippines, and China, you will be joining a diverse and inclusive team that values collaboration and creativity.
The Machine Learning Engineering specialty delivers value to Canva’s users by designing, building, and maintaining complex production systems to apply statistics and machine learning at scale. We're building a highly personalised Canva :
We're looking to grow the team to continue to scale the impact of machine learning across Canva. You'll be joining a fast-moving cross-functional team, rapidly building and shipping machine learning-driven features to users and staff.
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 :
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.
Scroll down for a complete overview of what this job will require Are you the right candidate for this opportunity
J-18808-Ljbffr
Remote working / work at home options are available for this role.
