Senior Machine Learning Engineer @ Canva
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About Canva
Join the team redefining how the world experiences design at Canva. With campuses in Sydney, Melbourne, Brisbane, Perth, Adelaide, and Auckland, you have the flexibility to work from our spaces, home, or a mix of both.
About the Canva AI Group
The Canva AI Group is behind the intelligence that powers Canva’s AI experiences. Our vision is to create the most natural and powerful conversational experience, helping users design, write, and ideate with ease.
About the Role - Senior Machine Learning Engineer
This role focuses on building AI that powers conversational experiences. You will work on large models, design scalable systems, and collaborate with software engineers to bring prototypes into production while mentoring your peers.
What You Will Be Doing
- Build a flexible and scalable conversational AI platform.
- Fine-tune and evaluate LLM-based models for performance.
- Contribute to both ML and backend platform engineering.
- Integrate with industry-standard tools and practices.
- Collaborate cross-functionally to deliver impactful AI features.
- Mentor other Machine Learning Engineers.
You’re Probably a Match If
- You have a product-minded approach with a strong bias for action.
- You are experienced in building and deploying ML-powered products.
- You enjoy hands-on coding alongside software engineers.
- You thrive in ambiguous environments and influence roadmap decisions.
- You keep up with the rapidly evolving AI landscape.
What’s in it for You
At Canva, you receive equity packages, inclusive parental leave, a Vibe & Thrive allowance, flexible leave options, and more. Experience moments of magic, connectivity, and fun while building the future of design.
Key skills/competency
- Conversational AI
- Machine Learning
- LLM Fine-tuning
- Scalable Systems
- Backend Integration
- Mentoring
- Product Mindset
- Prototype to Production
- Collaboration
- Emerging Techniques
How to Get Hired at Canva
🎯 Tips for Getting Hired
- Research Canva's culture: Understand their mission and values.
- Customize your resume: Highlight ML and AI products experience.
- Showcase hands-on skills: Provide case studies and projects.
- Prepare for technical interviews: Review scalable system design and LLM concepts.