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, Generative Models, Evaluation Systems, Team Leadership. Lead and grow ML Engineers and Research Scientists. Set strategic technical direction”
What You'll Achieve.
Deliver impactful engineering solutions; Ensure the deployment of robust, scalable ML systems into production; Guarantee enterprise readiness and user delight at scale; Reliably predict human aesthetic judgment; 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, MLOps, Model serving, Production reliability, Understand design principles
Nice to Have
Experience with visual quality assessment, Experience with aesthetic modelling, Experience with human preference learning, Experience tackling gap between automated metrics and human raters
What You'll Do.
Lead and grow ML Engineers and Research Scientists
Set strategic technical direction
Coach others to deliver engineering solutions
Ensure deployment of ML systems
Champion engineering excellence
Champion measurable impact
Bridge model capabilities with deployment
Coach and mentor ML Engineers and Research Scientists
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
Ensure ML capabilities translate to product impact
How You'll Work.
Team & Collaboration
Partnering cross-functionally to ensure ML capabilities translate into reliable product impact; Thrive in 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 Hiya, 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 The buzzing Canva London campus features several buildings around beautiful leafy Hoxton Square in Shoreditch. While our global headquarters is in Sydney, Australia, London is our HQ for Europe, with all kinds of teams based here, plus event spaces to gather our team and communities. You'll experience a warm welcome from our Vibe team at front of house, amazing home cooked food from our Head Chef and a variety of workspaces to hang out with your team mates or get solo work done. That said, we trust our Canvanauts to choose the balance that empowers them and their team to achieve their goals and so you have choice in where and how you work. 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
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