About the Role
Role details below.
Responsibilities
- Design, build, and maintain scalable systems for serving machine learning models in production
- Optimise inference performance, including latency, throughput, and cost efficiency
- Collaborate with ML researchers and engineers to productionise models
- Implement monitoring, logging, and alerting to ensure system reliability
- Contribute to platform tooling that improves developer experience and ML workflows
- Identify opportunities to improve infrastructure and drive technical enhancements across the platform
- Provide on call support to the services supported by the team
Requirements
- Passionate about building reliable, scalable systems
- Excited by the opportunity to work at the intersection of machine learning and infrastructure
- Enjoy solving complex technical problems
- Motivated by delivering real-world impact at scale
- Experience working with backend systems
- Some exposure to deploying or supporting machine learning models in production
- Comfortable collaborating across teams
- Eager to learn and grow in a fast-paced, product-driven environment
- Growth mindset
- Desire to help shape the future of AI at Canva
Benefits
- Equity packages
- Inclusive parental leave policy that supports all parents & carers
- Annual Vibe & Thrive allowance to support 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
Additional Information
- Don't tick all the boxes? Don't worry — nobody does! We’d still love to hear from you!
- Great engineers come from a variety of backgrounds
- Passion, curiosity, and willingness to learn are valued as much as specific experience
- Applicants are encouraged to apply even if they don’t meet every requirement
- Pronouns should be shared when applying
- Reasonable adjustments can be requested during the interview process
- All interviews are conducted virtually
