Staff Machine Learning Engineer – Recommendations

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🔥 46 minutes ago

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Canva

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2013

☁️ SaaS

📱 Media

📚 Education

💰 $200M Venture Round on 2021-09

SaaS • Media • Education

Canva is a versatile online design platform that empowers users to create a wide range of professional designs with ease. From social media posts and presentations to business cards and posters, Canva provides thousands of templates and design tools to help users bring their creative ideas to life. The platform also offers a suite of AI-powered features to enhance creativity and productivity, including tools like Magic Write for copy generation and Magic Edit for photo transformations. Canva caters to individuals, teams, and enterprises, making it an ideal solution for collaborative design and workflow management. It is also committed to sustainability and social impact, offering free educational and nonprofit access to its premium features.

📋 Description

• You'll design, implement, and refine machine learning models to deliver personalized recommendations, taking on the most complex and ambiguous parts of the system. • You'll improve the architecture, code structure, and performance of our machine learning systems, helping raise the engineering quality bar across the team. • You'll investigate research papers and state-of-the-art machine learning models, and judge which ones are worth bringing into production at Canva. • You'll lead the design of online and offline experiments to validate model performance, and make data-driven calls on what to ship and what to iterate on. • You'll shape how our machine learning models integrate with the broader technology stack, ensuring strong performance and reliability across the pipeline. • You'll work closely with product and engineering teams to deploy new recommendation features, driving alignment when initiatives span multiple teams. • You'll document and communicate your work to both technical and non-technical stakeholders — including senior leadership — and mentor MLEs around you through reviews, pairing, and shared knowledge.

🎯 Requirements

• Significant experience developing, shipping, and operating production-scale recommendation systems. • Proficiency in Python and core ML tooling (PyTorch, pandas, scikit-learn, numpy), with strong fluency on the engineering side of ML — training pipelines, evaluation, and serving. • Strong analytical skills, with a track record of rigorously evaluating model performance and making data-driven calls on what to ship and what to iterate on. • Excellent communication skills, with the ability to explain complex technical concepts to a wide range of audiences — including senior leadership. • A collaborative mindset and a passion for working with cross-functional teams to achieve shared goals, including supporting the growth of MLEs around you.

🏖️ 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