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Senior Machine Learning Engineer - AI Enablement (AU remote)

Enable AI innovation by bridging research and production

Act as a solution expert across ML domains, working directly with product teams to navigate technical challenges, optimize implementations, and accelerate the journey from experimentation to production. This role involves debugging complex issues, developing blueprints, and providing expert guidance on platform capabilities to ensure AI-powered features are shipped at the required pace and quality.

Why This Role?

Directly impact AI innovation by enabling teams to move faster and ship high-quality features

Key Responsibilities

  • Act as a solution expert across ML domains including evaluations, training, inference, data pipelines, and optimization
  • Work directly with product teams to navigate technical challenges and arrive at effective solutions
  • Develop blueprints, patterns, and paved roads to accelerate implementations for other teams

Requirements

  • Deep technical expertise across ML domains
  • Strong platform knowledge
  • Experience in model evaluations, training, inference, and data pipelines

Required Skills

machine learningpythontensorflowpytorchdata pipelinesplatform engineeringcommunicationModel EvaluationProblem Solving

Indonesia Context

Working Hours Overlap:
Flexible — work your own hours
See remote (USD) vs local pay →

Keywords

Senior Machine Learning EngineerAI EnablementML DomainsPlatform EngineeringAI InnovationProduct TeamsGenAI
View Original Description from SmartRecruiters

Original description from SmartRecruiters

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 team needs, requiring both technical excellence and pragmatic judgment. 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, 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 You're probably a match if you have any of the following: Strong Python expertise with 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 Strong communication skills with the ability to explain complex technical concepts to varied audiences A collaborative mindset with a focus on enabling others to succeed 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. All interviews are conducted virtually

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Company
Canva
Source
SmartRecruiters
Job Type
full time
Location
Remote
Category
Seniority
senior
Posted
May 19, 2026

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