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1 Vacancy
About the Role/Specialty
As an MLE on the Video Effects stream youll design train and deploy advanced ML models for real-time AV applications. This is a hybrid role combining product engineering and ML research with a focus on pushing the boundaries of whats possible with generative models computer vision and edge inference. Youll work closely with researchers and engineers to turn ideas into scalable high-performance features.
What youll do (responsibilities)
Design train and deploy ML models for real-time audio and video processing
Optimise models for performance on mobile and edge platforms (e.g. GPU quantization)
Build MLOps pipelines and data orchestration for AV-focused workflows
Work with research teams to prototype and evaluate new ML techniques
Collaborate with global teams on research agenda and product roadmap
Connect research to product impact translating ideas into user-facing features
Stay on top of multimedia ML trends and help drive innovation in creative tools
Qualifications :
What were looking for
Were looking for an MLE with both technical depth and creative instinct someone who thrives in fast-moving cross-disciplinary environments. Youll bring:
Strong experience in designing and deploying computer vision models in production
Expertise in deep learning for generative tasks (e.g. diffusion GANs video synthesis)
Practical experience optimising models for on-device or real-time use (quantization pruning GPU)
Proficiency in MLOps model training workflows and scalable inference systems
A balance of product and research mindset able to move quickly from concept to impact
Curiosity and passion for building visually expressive ML-powered features
Additional Information :
What the candidate will learn and how will they develop at Canva
Learn to ship creative ML features at scale powering real-time video editing for millions
Develop expertise in GPU and mobile inference for media-rich applications
Contribute to an interdisciplinary team bridging product AI/ML and design
Influence Canvas future in intelligent creative tools through your research and engineering
Remote Work :
Yes
Employment Type :
Full-time
Remote