Canva
Computer Software
SeniorResearchEngineer-Video
Neural analysis suggests this role is
optimal for mid candidates.
“Senior Research Engineer - Video at Canva. Skills: generative AI models, Diffusion Models, GANs, Transformers, PyTorch, ML pipelines, large-scale distributed training, solid engineering practices. 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”
What You'll Achieve.
helping Canva users go from idea to finished video with tools that feel genuinely magical; redefine how hundreds of millions of people create and tell stories visually; shaping one of the most exciting product frontiers in AI
Industry & Context.
Investigating and addressing production incidents through root cause analysis and sustainable fixes; pragmatic solutions
What They're Looking For.
Must Have
deep experience developing generative AI models, including Diffusion Models, GANs, or Transformers, successfully managed and optimized large-scale distributed training (e. g. across 100s of GPUs), understanding of ML principles, used frameworks like PyTorch to develop and optimize performant models, 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, consistently drive for pragmatic solutions, communicate clearly, collaborate with kindness, value knowledge-sharing and co-creation across teams
Nice to Have
knowledge of infrastructure trade-offs
What You'll Do.
Partnering with Research Scientists on research in multimodal generative AI
translating theory into practical applications
Porting experimental Python code to scalable
and production-grade solutions
incorporating performance benchmarks and robust testing practices
and implementing innovative model architectures and algorithms for multimodal design generation
Building sustainable ML pipelines that support continuous integration
and monitoring of generative models in production environments
Optimizing and scaling models for efficiency
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
How You'll Work.
Team & Collaboration
Collaborating closely with cross-functional stakeholders across Canva to build aligned, technically feasible, and high-impact solutions; collaborate with kindness; value knowledge-sharing and co-creation across teams
Communication Scope
Communicate clearly
Process & Methodology
end-to-end ownership of complex initiatives
Full Job Description
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 con
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