Canva
Computer Software
SeniorMachineLearningEngineer-AIEnablement
Neural analysis suggests this role is
optimal for mid candidates.
“Senior Machine Learning Engineer - AI Enablement at Canva. Skills: ML domains, evaluations, training, inference, data pipelines, labelling, optimisation, platform capabilities, debugging, problem solving, technical challenges, complex technical concepts, Python, ML frameworks, Kubernetes, inference optimisation, serving infrastructure. Act as a solution expert across ML domains including evaluations, training, inference, data pipelines, labelling, and optimisation. Work directly alongside produc”
What You'll Achieve.
achieving our GenAI ambitions depends on its ability to scale effectively; accelerate the journey from experimentation to production; ensuring that innovation translates into real user value; accelerating the delivery of GenAI capabilities across Canva; removing friction from the path to production; ensuring product teams across the company can ship AI-powered features at the pace and quality our ambitions require; accelerate their own implementations; scale enablement impact across the organisation
Industry & Context.
Excellent debugging and problem-solving skills across the full ML stack; problem solving; adaptive problem-solving
What They're Looking For.
Must Have
Python expertise, experience in ML frameworks, Experience working with Kubernetes, 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, communication skills with the ability to explain complex technical concepts to varied audiences
Nice to Have
Kubernetes a plus
What You'll Do.
Act as a solution expert across ML domains including evaluations
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
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
How You'll Work.
Team & Collaboration
Work directly alongside product teams as a trusted partner; helping them navigate technical challenges and arrive at effective solutions; collaborative mindset with a focus on enabling others to succeed
Communication Scope
communication skills with the ability to explain complex technical concepts to varied audiences
Process & Methodology
strategic thinking about how to scale enablement impact across the organisation
Full Job 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. 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 solution expertise 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 Please note, this is not a model building role 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 facilitating model evaluations, data pipeline, optimising inference performance and working directly with product teams building solutions. 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
Applying for this Senior Machine Learning Engineer - AI Enablement role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on SmartRecruiters
- SmartRecruiters often includes a video screening step — check camera and mic permissions.
- Link your GitHub or portfolio directly in the profile section for technical roles.
- Applications may be reviewed by AI scoring before reaching a recruiter — use keywords from the job description.
ANONYMOUS · UNFILTERED
What do employees actually say about Canva?
Real rants from real employees. Read before you apply.