SeniorFull TimeEN
Join the team redefining how the world experiences design.
Hello, 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
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.
About the role:
In your role as Senior Research (Machine Learning) Engineer, you'll be at the heart of building the next generation of generative video technology. Your work will push the boundaries of what's possible in AI-driven storytelling, helping Canva users go from idea to finished video with tools that feel genuinely magical. By developing and shipping cutting-edge video generation models, you'll help redefine how hundreds of millions of people create and tell stories visually, shaping one of the most exciting product frontiers in AI.
At the moment, this role is focused on:
Partnering with Research Scientists on research in multimodal generative AI, translating theory into practical applications
Porting experimental Python code to scalable, testable, and production-grade solutions, incorporating performance benchmarks and robust testing practices
Designing, developing, and implementing innovative model architectures and algorithms for multimodal design generation
Building sustainable ML pipelines that support continuous integration, deployment, and monitoring of generative models in production environments
Optimizing and scaling models for efficiency, latency, and throughput across large distributed systems
Enhancing and maintaining high-quality datasets and annotations to fuel multimodal learning
Investigating and addressing production incidents through root cause analysis and sustainable fixes
Collaborating closely with cross-functional stakeholders across Canva to build aligned, technically feasible, and high-impact solutions
You’re probably a match if you:
Have deep experience developing generative AI models, including Diffusion Models, GANs, or Transformers, and can speak to their real-world application
Have successfully managed and optimized large-scale distributed training (e.g. across 100s of GPUs) and understand the infrastructure trade-offs
Bring a strong understanding of ML principles and have used frameworks like PyTorch to develop and optimize performant models
Demonstrate solid engineering practices – clean code, rigorous testing, CI/CD workflows, and robust observability in production
Thrive in ambiguity, show end-to-end ownership of complex initiatives, and consistently drive for pragmatic solutions
Communicate clearly, collaborate with kindness, and value knowledge-sharing and co-creation across teams
What's in it for you?
Achieving our crazy big goals motivates us to work hard - and we do - but you'll 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.
Here's a taste of what's on offer:
Check out lifeatcanva.com 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.
