Senior Machine Learning Engineer – VSP Authoring & Distribution

Canva

Senior Machine Learning Engineer developing solutions for Canva's Visual Suite. Collaborate with product teams to navigate technical challenges and optimise ML implementations.

Posted 6/30/2026full-timeRemote • 🇦🇺 AustraliaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in Machine Learning domains, including Python programming, ML frameworks, and data pipeline development, with a strong focus on debugging, problem-solving, and effective communication across technical teams.

Highest-signal resume keywords

Python ExpertiseKubernetes (K8s) ExperienceData Pipeline DevelopmentModel Evaluation KnowledgeInference Optimisation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonMachine Learning FrameworksData Pipeline DevelopmentModel EvaluationInference OptimisationDebugging SkillsProblem-Solving Skills

Soft Skills

Excellent CommunicationCollaborative MindsetAbility to Context-Switch

Tools & Technologies

KubernetesML Platforms

Industry Keywords

Machine LearningData ScienceProduct TeamsTechnical Challenges

Tech Stack

Tools & technologies

JavaKubernetesPython

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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)

Benefits

Comp & perks

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