Senior Machine Learning Engineer - Mockups

Job Description

Join the team redefining how the world experiences design.

Ahoj, 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, Australia but Prague is home to part of our European operations. And with that, you'll have choice in 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

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, this role is focused on:

• Building cutting-edge ML features in the graphics space, like allowing 200 million users to transform 2D images into 3D models
• Leading the development of end-to-end pipelines for training, evaluating, and deploying ML models
• Developing performant data pipelines that provide AI model training and evaluation workflows with access to data assets that are legally compliant and aligned with Canvas’s strict policies around data usage for AI.
• Working closely with product and design, as well as backend and frontend engineers, to ideate on and design product features that will enable millions of users to leverage AI for their work

You're probably a match if

• You have several years of industry experience building machine learning applications in a software engineering (or equivalent) style role, using industry-standard technologies for production-focussed machine learning (Python, SQL, PyTorch/Tensorflow, Kubernetes/Docker, etc.)
• You bring experience in building and deploying machine learning models to distributed production environments, including a strong understanding of end-to-end machine learning pipelines and components.
• You have experience developing robust evaluation methodologies and workflows for complex or bespoke problem domains.
• You possess strong research synthesis skills: the ability to dig through deep learning/machine learning literature and translate this into product and value for users.
• You have additional experience with 2D and/or 3D graphics - this would be a great advantage for this role

About the team

This opportunity is huge - we are part of Canva Czech Republic team working on the Canva product, which helps people and businesses around the globe to create engaging visual materials. We develop product visualization features helping our users to bring their designs to life, and we work on a couple of yet-to-be-launched products that will bring the power of 3D graphics to our community of 200 million users.

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.