Canva286 followers135 jobs

Staff Machine Learning Engineer - Integrations & Solutions Group (AU remote)

SeniorFull-timeRemoteSydney NSW, AustraliaPosted 4 months agoVerified 1 week ago
Pending fitX of Y criteria met

About the job

This job is about being a Staff Machine Learning Engineer at Canva, where you will play a pivotal role in shaping how AI platforms interact with Canva's design capabilities. Your work will have a significant impact on the integration of AI tools, ensuring they are reliable and evolving with the fast-paced tech landscape. The team thrives on collaboration, innovation, and a shared passion for redefining design experiences.

Meet the team

About the company

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You'll be responsible for

🛠️

Driving AI tool design

Driving the design and evolution of AI-ready tools and APIs for reliable interactions with Canva's design capabilities.
📊

Owning evaluation frameworks

Owning and evolving evaluation frameworks to measure tool-use accuracy across platforms.
🏗️

Shaping agent architecture

Shaping Canva's agent architecture and making strategic technical decisions for AI integrations.

Key criteria

🧠

Experience with LLM-powered systems

Proven track record of shipping LLM systems and quantifying impact.

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🔍

Problem-solving skills

Ability to identify and address undefined gaps in LLM tool consumption.

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📊

End-to-end evaluation pipeline ownership

Experience designing metrics and benchmarking infrastructure for AI integrations.

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A meaningful career starts with a match

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5 criteria for this job
Experience with LLM-powered systems
Proven track record of shipping LLM systems and quantifying impact.

View

Problem-solving skills
Ability to identify and address undefined gaps in LLM tool consumption.

View

End-to-end evaluation pipeline ownership
Experience designing metrics and benchmarking infrastructure for AI integrations.

View

Setting technical standards
Demonstrated ability to establish reference points for tool design and API contracts.

View

Proficiency in Python and ML frameworks
Strong skills in Python, TypeScript/Node.js, and cloud infrastructure.

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