Canva
AI
MachineLearningEngineeringManager-Evaluations
Neural analysis suggests this role is
optimal for mid candidates.
“Machine Learning Engineering Manager - Evaluations at Canva. Skills: Machine Learning Engineering, Evaluation Systems, Team Leadership. Lead and grow ML team. Set strategic technical direction”
What You'll Achieve.
Deliver impactful engineering solutions; Ensure deployment of robust, scalable ML systems; Guarantee enterprise readiness; Guarantee user delight at scale; Reliably predict human aesthetic judgment; Close the loop between user signals and model improvements; Ensure ML capabilities translate into reliable product impact
Industry & Context.
Solving hard technical problems
What They're Looking For.
Must Have
Led machine learning engineering teams, Coaching and delivering production systems, Deploying and scaling generative models, Building ML infrastructure, Building evaluation pipelines, Building monitoring systems, Creating data-driven evaluation methodologies, Systems design skills, Experience with MLOps, Experience with model serving, Experience with production reliability, Understand design principles
Nice to Have
Diffusion models, GANs, VAEs, LLMs, Visual models, Image models, Video models, Design models, Visual quality assessment, Aesthetic modelling, Human preference learning, Gap between automated metrics and human raters
What You'll Do.
Lead and grow ML team
Set strategic technical direction
Coach others to deliver solutions
Ensure deployment of ML systems
Champion engineering excellence
Bridge model capabilities with deployment
Own evaluation infrastructure
Design evaluation systems
Build evaluation systems
Maintain evaluation systems
Build automated metrics
Advise on human evaluation pipelines
Close loop between user signals and model improvements
Set technical strategy
Guide engineering direction
Partner cross-functionally
How You'll Work.
Team & Collaboration
Partnering cross-functionally to ensure ML capabilities translate into reliable product impact; Collaborative environments; Communicate clearly with technical and non-technical audiences
Communication Scope
Communicate clearly with technical and non-technical audiences
Full Job Description
Join the team redefining how the world experiences design. Servus, hey, g'day, mabuhay, kia ora, 你好, hallo, vítejte! Thanks for stopping by. We know job hunting can be a little time consuming and you're probably keen to find out what's on offer, so we'll get straight to the point. Where and how you can work Our flagship campus is in Sydney, Australia but Austria is home to part of our European operations. And you have choice in where and how you work, we trust our Canvanauts to choose the balance that empowers them and their team to achieve their goals. Fun fact, a big part of our Austrian operations is developing the AI product within Canva to help reimagine how artificial intelligence can be used in design. Pretty cool ha! As Canva grows, so does the impact and opportunity of our AI-powered features. We're looking for a Machine Learning Engineering Manager to coach a team of world-class Research Scientists and Machine Learning Engineers, build production-ready evaluation systems, and turn cutting-edge ML capabilities into delightful product experiences. If you thrive in bridging rigorous engineering with practical application, and you love helping others grow whilst solving hard technical problems - this could be the role for you. About the Role: You will lead and grow a team of high-performing Machine Learning Engineers and Research Scientists (EU based) who are advancing the future of AI at scale. Your focus will be on setting strategic technical direction, coaching others to deliver impactful engineering solutions, and ensuring the deployment of robust, scalable ML systems into production. You'll champion both engineering excellence and measurable impact, bridging foundational model capabilities with real-world deployment across Canva's platform. This is a hands-on leadership role for someone who is passionate about cultivating talent, shaping a technical vision, and partnering cross-functionally to embed cutting-edge AI into delightful user experiences. At the
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