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Canva

Staff Machine Learning Engineer – Visual Suite Platform

Canva

Staff Machine Learning Engineer driving AI strategy from a product perspective at Canva. Partnering across teams to shape AI-enabled experiences and mentoring engineers in ML engineering.

Posted 7/29/2026full-timeRemote • 🇦🇺 AustraliaLeadWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in applying Machine Learning and Artificial Intelligence to enhance user experiences and drive product value. Capable of setting technical standards, mentoring teams, and collaborating across functions to implement effective AI strategies.

Highest-signal resume keywords
Machine Learning ApplicationArtificial Intelligence StrategyTechnical Direction OwnershipCross-Functional CollaborationMentoring in ML Engineering

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Machine LearningArtificial IntelligenceClassical Model DevelopmentLLM IntegrationTechnical Standards Setting
Soft Skills
Influencing RoadmapsPragmatic Problem SolvingMentoring
Industry Keywords
ProductivityUser JourneysTechnical PatternsOrganisational ChallengesIterative Development

About the role

Key responsibilities & impact
  • Identify and drive where ML/AI creates the most value across Productivity's user journeys
  • Toolify existing Productivity functionality so LLMs and agents can act on it
  • Partner with product, design and other engineering teams to shape AI strategy for Productivity
  • Set technical patterns and standards for how ML/AI gets applied and shipped across the team
  • Unblock organisational-level technical challenges that a single team can't solve alone
  • Mentor engineers and help raise the craft of applied ML engineering across the group
  • Balance speed and rigour, shipping AI features that hold up at Canva's scale
  • Translate shifts in user needs and the product roadmap into ML/AI priorities

Requirements

What you’ll need
  • Hands-on experience applying ML/AI to real product problems in production
  • Comfortable owning technical direction without needing everything handed to you
  • Method-agnostic: as happy building a well-tuned classical model as adopting the latest technique
  • Work well across teams, influencing a roadmap as well as writing code
  • Pragmatic: rather ship something useful and iterate than chase a perfect model

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