Senior Machine Learning Engineer – Visual Suite, Productivity Group
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Job Description
Machine Learning Engineer at Canva developing solutions for the Visual Suite product. Collaborating with product teams and providing expert guidance on ML capabilities.
Responsibilities:
- 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:
- 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)
- Exposure to Terraform
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
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