About the job
As Canva continues to expand, so does the significance and potential of our AI-driven features. We are in search of a Machine Learning Engineering Manager to mentor a team of exceptional Research Scientists and Machine Learning Engineers, develop production-ready evaluation systems, and transform state-of-the-art ML capabilities into engaging product experiences. If you excel at bridging rigorous engineering with practical applications, and you are passionate about nurturing talent while tackling challenging technical issues, this could be the ideal role for you.
About the Role:
Your primary responsibility will be to lead and develop a high-performing team of Machine Learning Engineers and Research Scientists based in the EU, who are shaping the future of AI on a large scale. You will focus on establishing strategic technical direction, mentoring team members to deliver impactful engineering solutions, and ensuring the deployment of robust and scalable ML systems into production. You will advocate for engineering excellence and measurable outcomes, connecting foundational model capabilities with real-world applications throughout Canva's platform.
This is a hands-on leadership position for someone who is dedicated to cultivating talent, developing a technical vision, and collaborating across functions to integrate cutting-edge AI into delightful user experiences.
This role involves:
Mentoring and coaching a high-performing team of Machine Learning Engineers and Research Scientists.
Owning the evaluation infrastructure - design, build, and maintain robust evaluation systems, quality metrics, safety monitoring, red-teaming, and competitive benchmarking to ensure enterprise readiness and user satisfaction at scale.
Creating automated metrics that accurately predict human aesthetic judgments across various dimensions such as visual hierarchy, layout coherence, typography, and brand alignment.
Advising on human evaluation pipelines and closing the feedback loop between user signals and model enhancements.
Establishing technical strategies aligned with Canva’s AI and product objectives.
Guiding engineering efforts in model deployment, evaluation infrastructure, and production systems.
Collaborating cross-functionally to ensure that ML capabilities deliver reliable product impacts.
You are likely a fit if you:
Have experience leading machine learning engineering teams, with a proven record of coaching and delivering production systems.
Possess expert knowledge in deploying and scaling generative models (Diffusion, GANs, VAEs, LLMs) in production environments, particularly with a strong focus on visual models (image, video, design).
Bring hands-on experience in building ML infrastructure, evaluation pipelines, and monitoring systems at scale.
Excel at developing data-driven evaluation methodologies, transforming user analytics and production metrics into actionable insights.
