Machine Learning Engineering Manager, Evaluations

• Lead and grow a team of Machine Learning Engineers and Research Scientists advancing the future of AI at Canva. • Own the evaluation infrastructure — quality metrics, safety monitoring, red-teaming, and competitive benchmarking — to ensure enterprise readiness at scale. • Build automated metrics that reliably predict human aesthetic judgment across visual hierarchy, layout coherence, typography, and brand alignment. • Set technical strategy aligned with Canva's AI and product goals, bridging foundational model capabilities with real-world deployment. • Based at Canva's London campus with hybrid working.

• Has led machine learning engineering teams with a strong track record of coaching and delivering production systems. • Expert knowledge deploying and scaling generative models — diffusion, GANs, VAEs, LLMs — in production, with a strong focus on visual models for image, video, and design. • Hands-on experience building ML infrastructure, evaluation pipelines, and monitoring systems at scale. • Skilled at creating data-driven evaluation methodologies that turn user analytics and production metrics into actionable insight. • Strong systems design skills with experience in MLOps, model serving, and production reliability. • Understands design principles — hierarchy, balance, typography, colour theory — well enough to operationalise them as measurable signals. • Communicates clearly with both technical and non-technical audiences.

• Experience with visual quality assessment, aesthetic modelling, or human preference learning. • Background tackling the gap between automated metrics and human rater judgment. • Track record of staying current with state-of-the-art ML research while maintaining strong engineering best practices.

• Coach and mentor a high-performing team of Machine Learning Engineers and Research Scientists. • Design, build, and maintain evaluation systems covering quality metrics, safety monitoring, red-teaming, and benchmarking. • Build automated metrics that reliably predict human aesthetic judgment across multiple design dimensions. • Advise on human evaluation pipelines and close the loop between user signals and model improvements. • Set technical strategy in alignment with Canva's AI and product goals. • Guide engineering direction across model deployment, evaluation infrastructure, and production systems. • Partner cross-functionally to ensure ML capabilities translate into reliable product impact.

• Equity packages so Canva's success is shared with you. • Inclusive parental leave policy that supports all parents and carers. • Annual Vibe & Thrive allowance for wellbeing, social connection, and home office setup. • Flexible leave options to recharge and support you personally. • A vibrant London campus with home-cooked food, dedicated event spaces, and flexibility in how and where you work. • Predominantly virtual interview process.

Canva is on a mission to empower the world to design. As AI-powered features become central to the platform, Canva's Engineering team works to bridge cutting-edge generative model capabilities with delightful, reliable product experiences for millions of users worldwide.