Machine Learning Engineering Manager Evaluations
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Job Location:
Monthly Salary:
Posted on:
4 hours ago
Vacancies:
1 Vacancy
Job Summary
As Canva grows so does the impact and opportunity of our AI-powered features. Were 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. Youll champion both engineering excellence and measurable impact bridging foundational model capabilities with real-world deployment across Canvas 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 moment this role is focused on:
Coaching and mentoring 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 competitive benchmarking - to guarantee enterprise readiness and user delight at scale.
Building automated metrics that reliably predict human aesthetic judgment across dimensions like visual hierarchy layout coherence typography and brand alignment.
Advising on human evaluation pipelines and closing the loop between user signals and model improvements.
Setting technical strategy in alignment with Canvas AI and product goals.
Guiding engineering direction across model deployment evaluation infrastructure and production systems.
Partnering cross-functionally to ensure ML capabilities translate into reliable product impact.
Youre probably a match if you:
Have led machine learning engineering teams with a strong track record of coaching and delivering production systems.
Possess expert knowledge in deploying and scaling generative models (Diffusion GANs VAEs LLMs) in production environments with a strong focus on visual models (image video design).
Bring hands-on experience building ML infrastructure evaluation pipelines and monitoring systems at scale.
Excel at creating data-driven evaluation methodologies turning user analytics and production metrics into clear actionable insights.
Have strong systems design skills and experience with MLOps model serving and production reliability.
Have experience with visual quality assessment aesthetic modelling or human preference learning bonus if youve tackled the gap between automated metrics and human raters.
Understand design principles (hierarchy balance typography colour theory) well enough to operationalise them as measurable signals.
Thrive in collaborative environments and communicate clearly with technical and non-technical audiences.
Stay current with both SOTA research trends and engineering best practices energised by continuous learning.
Additional Information :
Whats in it for you
Achieving our crazy big goals motivates us to work hard - and we do - but youll experience lots of moments of magic connectivity and fun woven throughout life at Canva too. We also offer a stack of benefits to set you up for every success in and outside of work.
Heres a taste of whats on offer:
- Equity packages - we want our success to be yours too
- Inclusive parental leave policy that supports all parents & carers
- An annual Vibe & Thrive allowance to support your wellbeing social connection home office setup & more
- Flexible leave options that empower you to be a force for good take time to recharge and supports you personally
Check out for more info.
Other stuff to know
We make hiring decisions based on your experience skills and passion as well as how you can enhance Canva and our culture. When you apply please tell us the pronouns you use and any reasonable adjustments you may need during the interview process.
Please note that interviews are predominantly conducted virtually.
Remote Work :
Yes
Employment Type :
Full-time
Key Skills
- Hospitality Experience
- Go
- Management Experience
- React
- Redux
- Node.js
- AWS
- Mechanical Engineering
- Team Management
- Leadership Experience
- Mentoring
- Distributed Systems
About Company
We're a global online visual communications platform on a mission to empower the world to design. Featuring a simple drag-and-drop user interface and a vast range of templates ranging from presentations, documents, websites, social media graphics, posters, apparel to videos, plus a hu ... View more
