Staff Machine Learning Engineer - Recommendations (AU remote)

📋 Description You'll design, implement, and refine ML models for personalized recommendations. You'll improve architecture, code structure, and performance of ML systems. Investigate papers and state-of-the-art models for Canva production. Lead online and offline experiments to validate model performance. Shape ML model integration with the broader tech stack for reliability. Collaborate with product/engineering to deploy new features. 🎯 Requirements Significant experience building, shipping, and operating production-grade recommender systems. Proficient in Python and ML tooling (PyTorch, pandas, scikit-learn, numpy); pipelines. Strong analytical skills with data-driven decision making. Excellent communication; explain complex concepts to leadership. Collaborative; works with cross-functional teams; mentors MLEs. Experience evaluating models and deciding what to ship. 🎁 Benefits Equity packages. Inclusive parental leave policy that supports all parents and carers. Annual Vibe & Thrive allowance for wellbeing and office setup. Flexible leave options to support you personally. Lifeatcanva.com info and resources.