Logo for Canva

Staff Machine Learning Engineer - Visual Suite Platform (AU remote)

Role overview

Qualifications

  • Hands-on experience applying ML/AI to real product problems
  • Ability to own technical direction independently
  • Comfort with method-agnostic approaches to ML/AI
  • Experience influencing product roadmaps and writing code

Responsibilities

  • Identify and drive where ML/AI creates the most value across user journeys
  • Toolify existing functionality for LLMs and agents
  • Partner with product and design teams to shape AI strategy
  • Mentor engineers and help raise the craft of applied ML engineering

Key facts

Other skills

  • Collaboration
  • Mentorship
  • Problem Solving
  • Communication
  • Time Management

About the company

Canva logo

Canva

Graphic Design

Before Canva, creating a professional looking design was a complex process - you had to purchase expensive software; learn how to use it; purchase stock photography and fonts for the software; decide on a layout; slice images; receive photos and content via email; design something; upload and email the pdf only to find revisions needed to be made … and then finally be able to prepare your design for web or print. Since launching in August 2013, Canva has been changing the way in which we communicate. Today our design tool has attracted over 60 million happy users across 190 countries, who have collectively created more than 7 billion designs. With an integrated marketplace that has both free and paid stock photography, fonts, illustrations, and thousands of templates; a paid subscription that offers the ability to set up a brand kit so users can save their brand colours, fonts and assets, and ensure consistency across their designs; and a print service that gives our users the ability to produce professional prints in a variety of formats and sizes, delivered straight to their doorstep - Canva is disrupting the way we design.

Company details

Company typeLarge
IndustryGraphic Design
Company size1001 - 5000

Your match analysis

See how your profile stacks up against this role.

We compared the job requirements to your profile to show where you're strong and where you fall short.

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, with a second campus in Melbourne and co-working spaces in Brisbane, Perth, & Adelaide. You have flexibility in how and where you work — whether that's from one of our spaces, from home, or a mix of both. This role is remote-friendly within Australia, so you can choose the setup that empowers you and your team to do your best work.

Job Description

About the Group/Team

We're the Productivity group within the Design Experience supergroup. We build the surfaces people use to organise and act on information in Canva: Sheets, Tables, Docs, Whiteboards, Presentations, Websites, and Email. Right now, we're focused on using AI to automate whole user flows, not just bolt on smart features. We want to invent what productivity looks like next, and rethink how the work actually gets done. We move fast and ship often, and we care about the details that make AI feel effortless. Our work touches millions of people every day, so getting it right matters.

About the Role/Specialty

This role drives AI strategy from a product perspective: identifying where ML and AI create the most value across Productivity's user journeys, and shaping how those AI-enabled experiences get built. A core current focus is toolifying existing Productivity functionality, wrapping it so LLMs and agents can use it to complete real user tasks. You will manage your time between scoping unstructured product and technical problems, setting patterns other engineers build on, partnering with product to shape where ML has impact, and mentoring engineers to raise the technical bar.

What you’ll do (responsibilities)

  • Identify and drive where ML/AI creates the most value across Productivity's user journeys
  • Toolify existing Productivity functionality so LLMs and agents can act on it
  • Partner with product, design and other engineering teams to shape AI strategy for Productivity
  • Set technical patterns and standards for how ML/AI gets applied and shipped across the team
  • Unblock organisational-level technical challenges that a single team can't solve alone
  • Mentor engineers and help raise the craft of applied ML engineering across the group
  • Balance speed and rigour, shipping AI features that hold up at Canva's scale
  • Translate shifts in user needs and the product roadmap into ML/AI priorities
  • Set the AI direction for the Productivity group and empower engineers across teams to own delivery against it

What we're looking for:

You've got hands-on experience applying ML/AI to real product problems in production, and you're comfortable owning technical direction without needing everything handed to you. You're genuinely method-agnostic: as happy building a well-tuned classical model as adopting the latest technique, whatever gets the job done. You work well across teams, and you're just as happy influencing a roadmap as you are writing code. You're pragmatic: you'd rather ship something useful and iterate than chase a perfect model nobody uses. You want to find and drive where AI actually helps people get things done.


What the candidate will learn & how will they develop at Canva:

  • Apply ML at the scale of Canva's global user base, where a small improvement can change how millions of people work

  • Shape ML architecture and technical standards that get reused across the Design Experience supergroup

  • Own increasingly ambiguous, cross-team problems and build the judgement to set technical direction, not just execute against a brief

  • Mentor engineers and contribute to hiring, growing your ability to shape a team's technical bar

  • Sharpen your product instincts by measuring ML work against real usage and impact, not just model performance

 

Additional Information

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 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.

All interviews are conducted virtually

Apply once. Then go straight to the hiring manager.

After you apply, unlock the direct contact details of the people who actually make the call. A quick follow-up makes you 5x more likely to land an interview.

MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
Unlocked after you apply
·

Machine Learning Engineer Related jobs

Other jobs at Canva

Premium

Reach out to the hiring manager directly.

Gain access to the contact details of the hiring managers who actually decide, and reach out to network with them directly. That, plus more when you upgrade:

  • Full match report with fit score and gaps
  • Career diagnostics on how recruiters read you
  • Curated company matches and warm intros
  • 48h early access to new roles

Cancel anytime.