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Company Description
Join the team redefining how the world experiences design.
Hello, hey, g’day, mabuhay, kia ora, 你好, hallo, vítejte! 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 the front of house, amazing home‑cooked food from our Head Chef and a variety of workspaces to hang out with your teammates 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.
Job Description
About the role:
In your role as Senior Research (Machine Learning) Engineer, you’ll be at the heart of our mission to make advanced machine learning design tools easy for everyone to use. Your work will help create new features that make it simpler and more fun for Canva users to bring their ideas to life. By developing and integrating these cutting‑edge technologies, you’ll help us achieve our goal of empowering the world to design. Your contributions will enhance user experiences, drive Canva’s growth, and keep us at the forefront of the design industry. Together, we’ll make a real impact and shape the future of design.
Responsibilities
* Partner with Research Scientists on multimodal generative AI research, translating theory into practical applications.
* Port experimental Python code to scalable, testable, and production‑grade solutions, incorporating performance benchmarks and robust testing practices.
* Design, develop, and implement innovative model architectures and algorithms for multimodal design generation.
* Build sustainable ML pipelines that support continuous integration, deployment, and monitoring of generative models in production environments.
* Optimize and scale models for efficiency, latency, and throughput across large distributed systems.
* Enhance and maintain high‑quality datasets and annotations to fuel multimodal learning.
* Investigate and address production incidents through root cause analysis and sustainable fixes.
* Collaborate closely with cross‑functional stakeholders across Canva to build aligned, technically feasible, and high‑impact solutions.
Qualifications
* Deep experience developing generative AI models, including Diffusion Models, GANs, or Transformers, and can speak to their real‑world application.
* Successfully managed and optimized large‑scale distributed training (e.g. across 100s of GPUs) and understand the infrastructure trade‑offs.
* 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.
* Excellent communication skills, collaborate with kindness, and value knowledge‑sharing and co‑creation across teams.
Benefits
* 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 support you personally.
Additional Information
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. Interviews are predominantly conducted virtually.
For more life at Canva information, visit lifeatcanva.com.
Location: London, England, United Kingdom.
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