Senior Machine Learning Engineer - Elements Platform
Back to Jobs
CanvaGet Smart Job AI Coach in the appFree on iOS and Android 






Senior Machine Learning Engineer - Elements Platform
Location
Sydney, , Australia
Experience
Senior
Posted
Jul 7, 2026
Apply by
August 6, 2026
Applicants
0
Early applicantEasy applyFull-timeWork from Home
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 Role/Specialty:**
As a Senior Machine Learning Engineer on Elements Platform, you'll build the ML systems that power how style gets understood — and how that understanding gets reflected in the elements generated for people's designs. Beyond that, you'll help shape how templates and elements get generated at scale. You'll work closely with the Content Engine, Core Research, and AI Media teams to take projects from a strong idea to a dependable, scaled system. This is a role for someone who wants to own real ML infrastructure — not just train models, but ship, monitor, and improve systems that directly shape what millions of people see when they open Canva. You'll have real autonomy to identify problems, propose solutions, and see them through to production.
**What you’ll do (responsibilities):**
- Design, build, and ship ML models that power content generation and quality eval scoring for Canva's generated element and template library.
- Own the full ML lifecycle — from data pipelines and training through to deployment, monitoring, and iteration.
- Partner with Content Engine, CORE AI Research, AI Media, and Discovery teams to align ML work with the broader content strategy.
- Diagnose and resolve issues across model performance, data quality, and production reliability.
- Run experiments to validate ML approaches before scaling them, with clear success metrics.
- Contribute to the engineering standards and tooling that make ML development faster and more reliable across the group.
- Communicate technical tradeoffs clearly to both engineering and non-engineering stakeholders.
**What we're looking for:**
You have solid experience building and deploying machine learning systems in production, not just prototyping them. You're comfortable owning a problem end-to-end, from framing it, to building the model, to making sure it holds up once it's live. You care about the practical tradeoffs between model quality, latency and cost, and you know how to make good calls under uncertainty. You collaborate well with engineers, product and content teams, and you're motivated by seeing your work show up in something millions of people use every day. Curiosity and a willingness to dig into ambiguous problems matter more to us than ticking every box on a skills list.
**What You'll Learn & Build:**
- Deep experience scaling ML systems for a content platform used by hundreds of millions of people.
- Exposure to the full spectrum of content ML work — from generation to design understanding.
- Opportunities to shape ML engineering practice across the Content Product group.
- Growth toward technical leadership, with real scope to define and drive your own roadmap.
## 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](https://www.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*
Key Responsibilities
- Design, build, and ship ML models for content generation and quality evaluation.
- Own the full ML lifecycle including data pipelines, training, deployment, and monitoring.
- Partner with Content Engine, CORE AI Research, and AI Media teams to align ML work with content strategy.
- Diagnose and resolve issues related to model performance, data quality, and production reliability.
- Run experiments to validate ML approaches before scaling them.
- Contribute to engineering standards and tooling for faster and more reliable ML development.
- Communicate technical tradeoffs to engineering and non-engineering stakeholders.
Skills Required
Machine LearningML SystemsData PipelinesModel DeploymentModel MonitoringExperimentationProblem solvingCollaborationCommunicationCuriosityAutonomy
Benefits
- Equity packages
- Inclusive parental leave policy
- Annual Vibe & Thrive allowance
- Flexible leave options
App exclusive · Free
Smart Job AI Coach
Your personal interview coach on every job — readiness tips, profile improvements, and role-specific prep. Available only in the Pulse Job app.
Interview readiness
See how prepared you are and what to improve for each role.
Personalized tips
Actionable suggestions based on your profile and the job.
After you apply
Keep coaching momentum from job detail through application success.
Similar roles for you
Matched using this role's title and skills. Open the job search anytime to see every listing.

Senior Software Engineer - Machine Learning
Uber Freight
183,000–223,200 / Year
Full-timeEasy applyHybrid
San FranciscoSenior

Senior Data Scientist - IA Générative F/H
Devoteam
Full-timeHybrid
LyonSenior

Full Stack Solutions Engineer
Dechert
Full-timeWork from Office
PhiladelphiaSenior

Product Manager, HR Data Platform (F/H/NB)
Ubisoft
Full-timeEasy applyWork from Office
Saint-MandéMid

Data Scientist (Vantage) - Clearance Required
LMI
111,426–150,000 / Year
Full-timeEasy applyWork from Home
RemoteSenior

Sr Systems Analyst - GenAI Solutions Developer
Orange and Rockland Utilities, Inc.
Full-timeEasy applyWork from Office
New YorkSenior