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Senior Machine Learning Engineer - Visual Suite - Productivity Group (ANZ remote)

at Canva Pty Ltd

Back to all Data Science / AI / ML jobs
C
Industry not specified

Senior Machine Learning Engineer - Visual Suite - Productivity Group (ANZ remote)

at Canva Pty Ltd

Tech LeadNo visa sponsorshipData Science/AI/ML

Posted 4 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Sydney, Melbourne
Country
Australia, New Zealand

Join Canva's Visual Suite Platform as a Senior ML Engineer. You will bring deep ML domain expertise and platform knowledge to debug AI implementations, optimize inference, and partner with product teams to build scalable solutions. You will create blueprints, patterns, and paved roads to accelerate enablement across the organization while balancing hands-on work with strategic thinking. The role offers exposure to Canva’s core product offerings and significant opportunity to drive impact in a fast-paced, high-velocity environment.

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, and Auckland, NZ. 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 or New Zealand, so you can choose the setup that empowers you and your team to do your best work.

About the Team


The Visual Suite Platform Team is an agile group of backend and machine learning engineers that own and maintain the variety of services that underpin the product verticals that make up the Visual Suite (Docs, Email, Sheets, Presentations, Websites, and Whiteboards). The team will also support other teams within Design Experience with both BE and MLE resources.


About the Role/Specialty

This role sits at the intersection of solution expertise and platform engineering, requiring deep technical expertise across ML domains combined with strong platform knowledge. You will manage your time between debugging complex AI implementations, optimising inference performance, working directly with product teams building solutions, and developing blueprints that allow others to follow proven patterns.

The nature of enablement work demands someone who operates as a force multiplier, finding satisfaction not just in solving technical problems but in enabling others to move faster. The role operates in a high-velocity environment where priorities shift rapidly based on team needs, requiring both technical excellence and pragmatic judgment about when to invest in robust solutions versus rapid unblocking. The candidate will get exposure to a wide array of Canva’s key product offers and have a lot of room to make impact.

What you’ll do (responsibilities)
Responsibilities will evolve as Canva's needs change, but here's what the role will focus on initially:

  • Act as a solution expert across ML domains including evaluations, training, inference, data pipelines, quality, and optimisation

  • Work directly alongside product teams as a trusted partner, helping them navigate technical challenges and arrive at effective solutions

  • Provide expert guidance on platform capabilities, helping teams understand what's possible and how to get there efficiently

  • Develop blueprints, patterns, and paved roads that allow other teams to follow proven approaches and accelerate their own implementations

  • Debug and resolve complex issues, identifying root causes and sharing learnings broadly

  • Balance hands-on problem solving with strategic thinking about how to scale enablement impact across the organisation

You're probably a match if you have any of the following:

  • Demonstrated Python expertise with experience in ML frameworks

  • Commercial experience working with Kubernetes (K8s)

  • Experience or knowledge of building data pipelines

  • Experience or knowledge of model evaluations

  • Experience with inference optimisation and serving infrastructure

  • Experience supporting or working closely with research, data science, or product teams

  • Excellent debugging and problem-solving skills across the full ML stack

  • Ability to context-switch effectively across multiple concurrent projects

  • Proven communication skills with the ability to explain complex technical concepts to varied audiences

  • A collaborative mindset with a focus on enabling others to succeed

  • A working knowledge of Java (not tested during interviews)

  • Exposure to Terraform

 

What people skills make a good Visual Suite Engineer?

  • Cross-team collaboration - our work does not happen in a vacuum.

  • Mentoring - we have a strong culture of growth within the group.

  • Strong organisational skills - being good at breaking down tasks and delivering on them.

  • Excellent written communication skills - we write a lot of design docs and review a lot of PRs.

Senior Machine Learning Engineer - Visual Suite - Productivity Group (ANZ remote)

at Canva Pty Ltd

Back to all Data Science / AI / ML jobs
C
Industry not specified

Senior Machine Learning Engineer - Visual Suite - Productivity Group (ANZ remote)

at Canva Pty Ltd

Tech LeadNo visa sponsorshipData Science/AI/ML

Posted 4 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Sydney, Melbourne
Country
Australia, New Zealand

Join Canva's Visual Suite Platform as a Senior ML Engineer. You will bring deep ML domain expertise and platform knowledge to debug AI implementations, optimize inference, and partner with product teams to build scalable solutions. You will create blueprints, patterns, and paved roads to accelerate enablement across the organization while balancing hands-on work with strategic thinking. The role offers exposure to Canva’s core product offerings and significant opportunity to drive impact in a fast-paced, high-velocity environment.

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, and Auckland, NZ. 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 or New Zealand, so you can choose the setup that empowers you and your team to do your best work.

About the Team


The Visual Suite Platform Team is an agile group of backend and machine learning engineers that own and maintain the variety of services that underpin the product verticals that make up the Visual Suite (Docs, Email, Sheets, Presentations, Websites, and Whiteboards). The team will also support other teams within Design Experience with both BE and MLE resources.


About the Role/Specialty

This role sits at the intersection of solution expertise and platform engineering, requiring deep technical expertise across ML domains combined with strong platform knowledge. You will manage your time between debugging complex AI implementations, optimising inference performance, working directly with product teams building solutions, and developing blueprints that allow others to follow proven patterns.

The nature of enablement work demands someone who operates as a force multiplier, finding satisfaction not just in solving technical problems but in enabling others to move faster. The role operates in a high-velocity environment where priorities shift rapidly based on team needs, requiring both technical excellence and pragmatic judgment about when to invest in robust solutions versus rapid unblocking. The candidate will get exposure to a wide array of Canva’s key product offers and have a lot of room to make impact.

What you’ll do (responsibilities)
Responsibilities will evolve as Canva's needs change, but here's what the role will focus on initially:

  • Act as a solution expert across ML domains including evaluations, training, inference, data pipelines, quality, and optimisation

  • Work directly alongside product teams as a trusted partner, helping them navigate technical challenges and arrive at effective solutions

  • Provide expert guidance on platform capabilities, helping teams understand what's possible and how to get there efficiently

  • Develop blueprints, patterns, and paved roads that allow other teams to follow proven approaches and accelerate their own implementations

  • Debug and resolve complex issues, identifying root causes and sharing learnings broadly

  • Balance hands-on problem solving with strategic thinking about how to scale enablement impact across the organisation

You're probably a match if you have any of the following:

  • Demonstrated Python expertise with experience in ML frameworks

  • Commercial experience working with Kubernetes (K8s)

  • Experience or knowledge of building data pipelines

  • Experience or knowledge of model evaluations

  • Experience with inference optimisation and serving infrastructure

  • Experience supporting or working closely with research, data science, or product teams

  • Excellent debugging and problem-solving skills across the full ML stack

  • Ability to context-switch effectively across multiple concurrent projects

  • Proven communication skills with the ability to explain complex technical concepts to varied audiences

  • A collaborative mindset with a focus on enabling others to succeed

  • A working knowledge of Java (not tested during interviews)

  • Exposure to Terraform

 

What people skills make a good Visual Suite Engineer?

  • Cross-team collaboration - our work does not happen in a vacuum.

  • Mentoring - we have a strong culture of growth within the group.

  • Strong organisational skills - being good at breaking down tasks and delivering on them.

  • Excellent written communication skills - we write a lot of design docs and review a lot of PRs.

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