Senior Machine Learning Engineer - AI Enablement (AU remote)

Canva

Sydney

3 weeks ago

Sydney

3 weeks ago

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Senior Machine Learning Engineer - AI Enablement (AU remote)

Senior Machine Learning Engineer role on AI Enablement team at Canva, based in Sydney with remote-friendly options within Australia. The role focuses on enabling AI builders across the company by providing solution expertise, optimizing ML workflows, and accelerating GenAI capabilities from experimentation to production.

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Hybrid

Full-time

Senior

Python

Kubernetes

Salary

Not specified

Work Location

Sydney, New South Wales, Australia, AU

Work Model

Hybrid - remote-friendly within Australia with offices in Sydney, Melbourne, and co-working spaces in Brisbane, Perth, Adelaide

Employment Type

Full-time

Experience Level

Mid-Senior level

Core Qualifications

Technical (Must-have)

PythonKubernetesML frameworksdata pipelinesmodel evaluationsinference optimisationserving infrastructure

Soft Skills

debuggingproblem-solvingcontext-switchingcommunicationcollaborative mindset

Key Responsibilities

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

Senior Machine Learning EngineerAI EnablementCanvaGenAIPythonKubernetesdata pipelinesinference optimisationmodel evaluationsremote Australia

Key Responsibilities

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