
Senior Machine Learning Engineer – Video AI Engine
Canva
full-time
Posted on:
Location Type: Remote
Location: Australia
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Job Level
About the role
- You’ll productionize video-based ML models, enabling scalable, reliable deployment
- You’ll develop high-performance inference pipelines for near real-time use in Canva’s editor
- You’ll experiment with and evaluate model effectiveness for diverse video editing use cases
- You’ll collaborate with AI researchers to translate novel techniques into deployable video tools
- You’ll contribute to scalable ML infrastructure and model serving and experimentational frameworks
- You’ll participate in roadmap discussions, engineering reviews, and planning cycles
- You’ll be hands-on with model evaluation, optimization, and continuous improvements
Requirements
- Experience deploying ML models into production, ideally for video, vision, or generative applications
- Proficiency in Python and deep learning frameworks (e.g., PyTorch, Torch)
- Strong systems knowledge, including working with inference pipelines and performance optimization
- Familiarity with ML lifecycle tooling—experiment tracking, monitoring, deployment
- Collaborative approach and ability to work across product, research, and infrastructure teams
- A user-focused mindset and drive to create magical experiences powered by ML
Benefits
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
ML modelsinference pipelinesperformance optimizationPythondeep learning frameworksPyTorchTorchexperiment trackingmonitoringdeployment
Soft Skills
collaborative approachuser-focused mindsetability to work across teams