Senior Research Engineer – Video

Role Overview

• 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.
• 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

Requirements

• 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

Tech Stack

• Distributed Systems
• Python
• PyTorch

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 supports you personally