Senior Research Engineer – Video Generative AI

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October 31

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Canva

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SaaS • Media • Education

Canva is a versatile online design platform that empowers users to create a wide range of professional designs with ease. From social media posts and presentations to business cards and posters, Canva provides thousands of templates and design tools to help users bring their creative ideas to life. The platform also offers a suite of AI-powered features to enhance creativity and productivity, including tools like Magic Write for copy generation and Magic Edit for photo transformations. Canva caters to individuals, teams, and enterprises, making it an ideal solution for collaborative design and workflow management. It is also committed to sustainability and social impact, offering free educational and nonprofit access to its premium features.

1001 - 5000 employees

Founded 2013

☁️ SaaS

📱 Media

📚 Education

💰 $200M Venture Round on 2021-09

📋 Description

• 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. • 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

🏖️ 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