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Design anything. Publish anywhere.
Senior Machine Learning Engineer – Integrations
Location
Australia
Posted
81 days ago
Salary
0
Seniority
Senior
Job Description
Senior Machine Learning Engineer – Integrations
Canva
• Design and optimise AI-ready tools and APIs that enable LLM platforms (ChatGPT, Claude, Gemini and others) to reliably interact with Canva's design capabilities — focusing on optimising tools to decrease latency and reduce costs without sacrificing end-user performance • Pioneer agent to agent communication • Build and maintain evaluation frameworks to systematically measure tool-use accuracy across platforms, including proxy-based fast evals for development velocity and real-client evals for production validation • Experiment with LLM orchestration and agent architectures — Develop Canva agents that any 3rd party provider can call to design quickly, efficiently and at scale • Automate entire workflows such as marketing campaigns by connecting user intent, Canva and third parties • Develop observability and monitoring systems to track how AI assistants consume Canva's tools in production, identifying failure patterns and driving continuous improvement • Work across platform boundaries — understanding the behavioural quirks of different LLM platforms and building adapters or configurations that account for them at scale • Collaborate with AI partners and internal teams to shape tool design, API evolution, and integration strategy aligned with Canva's broader AI ecosystem goals
Job Requirements
- Experience working with LLMs in production — not just prompt engineering, but rigorous error analysis and understanding how models select and invoke tools, where they fail, and how to improve reliability
- Skilled in evaluation and benchmarking — you know how to design metrics, build eval pipelines, and measure whether AI integrations are actually working at scale
- Experience designing APIs or tools consumed by AI agents — understanding that tool descriptions are UX for AI, and small changes in naming or structure can swing accuracy by 40%
- Build and iterate on agent architectures — whether that's orchestration layers, MCP servers, or intent-based APIs that abstract complexity from external models
- Proficient in Python and familiar with ML frameworks, but equally comfortable working with TypeScript/Node.js and cloud infrastructure (Cloudflare Workers, AWS, or similar)
- Thrive in cross-functional, partner-facing work — collaborating with engineering, product, and external AI platform teams (OpenAI, Anthropic, Google) to shape integration strategy
- Enjoy solving ambiguous, fast-moving problems — the AI ecosystem is evolving rapidly and you're energized rather than overwhelmed by that
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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