MENU
  • Remote Jobs
  • Companies
  • Go Premium
  • Job Alerts
  • Post a Job
  • Log in
  • Sign up
Working Nomads logo Working Nomads
  • Remote Jobs
  • Companies
  • Post Jobs
  • Go Premium
  • Get Free Job Alerts
  • Log in

Senior Machine Learning Engineer - AI Platform Enablement

Canva

Full-time
Australia
machine learning
engineer
python
data science
kubernetes
Apply for this position

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, 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.

Job Description

About the Group/Team

Canva's AI Platform Group serves as the foundation for AI innovation across the company, and achieving our GenAI ambitions depends on its ability to scale effectively. Within this group, the AI Enablement teams provide critical support to researchers and AI builders globally, helping them navigate platform capabilities, apply expert domain knowledge, optimise implementations, and accelerate the journey from experimentation to production. These teams bridge the gap between cutting-edge research and reliable, production-ready features, ensuring that innovation translates into real user value.

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. The senior MLE will context-switch 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. This combination of deep expertise and adaptive problem-solving is critical to accelerating the delivery of GenAI capabilities across Canva, removing friction from the path to production and ensuring product teams across the company can ship AI-powered features at the pace and quality our ambitions require.

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

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.

Apply for this position
Bookmark Report

About the job

Full-time
Australia
Senior Level
Posted 6 hours ago
machine learning
engineer
python
data science
kubernetes

Apply for this position

Bookmark
Report
Enhancv advertisement

30,000+
REMOTE JOBS

Unlock access to our database and
kickstart your remote career
Join Premium

Senior Machine Learning Engineer - AI Platform Enablement

Canva

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, 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.

Job Description

About the Group/Team

Canva's AI Platform Group serves as the foundation for AI innovation across the company, and achieving our GenAI ambitions depends on its ability to scale effectively. Within this group, the AI Enablement teams provide critical support to researchers and AI builders globally, helping them navigate platform capabilities, apply expert domain knowledge, optimise implementations, and accelerate the journey from experimentation to production. These teams bridge the gap between cutting-edge research and reliable, production-ready features, ensuring that innovation translates into real user value.

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. The senior MLE will context-switch 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. This combination of deep expertise and adaptive problem-solving is critical to accelerating the delivery of GenAI capabilities across Canva, removing friction from the path to production and ensuring product teams across the company can ship AI-powered features at the pace and quality our ambitions require.

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

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.

Working Nomads

Post Jobs
Premium Subscription
Sponsorship
Reviews
Job Alerts

Job Skills
Jobs by Location
API
FAQ
Privacy policy
Terms and conditions
Contact us
About us

Jobs by Category

Remote Administration jobs
Remote Consulting jobs
Remote Customer Success jobs
Remote Development jobs
Remote Design jobs
Remote Education jobs
Remote Finance jobs
Remote Legal jobs
Remote Healthcare jobs
Remote Human Resources jobs
Remote Management jobs
Remote Marketing jobs
Remote Sales jobs
Remote System Administration jobs
Remote Writing jobs

Jobs by Position Type

Remote Full-time jobs
Remote Part-time jobs
Remote Contract jobs

Jobs by Region

Remote jobs Anywhere
Remote jobs North America
Remote jobs Latin America
Remote jobs Europe
Remote jobs Middle East
Remote jobs Africa
Remote jobs APAC

Jobs by Skill

Remote Accounting jobs
Remote Assistant jobs
Remote Copywriting jobs
Remote Cyber Security jobs
Remote Data Analyst jobs
Remote Data Entry jobs
Remote English jobs
Remote Spanish jobs
Remote Project Management jobs
Remote QA jobs
Remote SEO jobs

Jobs by Country

Remote jobs Australia
Remote jobs Argentina
Remote jobs Brazil
Remote jobs Canada
Remote jobs Colombia
Remote jobs France
Remote jobs Germany
Remote jobs Ireland
Remote jobs India
Remote jobs Japan
Remote jobs Mexico
Remote jobs Netherlands
Remote jobs New Zealand
Remote jobs Philippines
Remote jobs Poland
Remote jobs Portugal
Remote jobs Singapore
Remote jobs Spain
Remote jobs UK
Remote jobs USA


Working Nomads curates remote digital jobs from around the web.

© 2025 Working Nomads.