Senior Machine Learning Engineer Video Processing (China)
Senior Machine Learning Engineer Video Processing (China)
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1 Vacancy
Job Description
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 video processing and audio-visual workflows with a focus on entertainment contexts such as TV film and games.
Build and optimise video engineering pipelines using techniques like streaming processing GPU acceleration and quantization for mobile and edge platforms.
Apply computer graphics OpenGL/OpenGLES GLSL and shaders to accelerate visual effects (VFX) rendering and real-time ML inference.
Develop and scale MLOps pipelines and orchestration tailored for AV-focused and visual effects production workflows.
Collaborate with research teams on applying diffusion models generative ML and computer vision techniques to creative use cases such as video synthesis virtual production and content enhancement.
Prototype and evaluate cutting-edge ML and graphics approaches bridging research and production to deliver impactful user-facing features.
Stay on top of industry trends in VFX video processing and multimedia ML driving innovation for creative tools in entertainment.
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:
Proven experience in computer vision especially deploying models in production for real-time or streaming scenarios.
Expertise in deep learning for generative media (e.g. diffusion models GANs video synthesis) applied to video graphics or entertainment workflows.
Practical skills in real-time processing: GPU optimisation quantization pruning and shader-based acceleration.
Hands-on knowledge of computer graphics frameworks including OpenGL OpenGLES GLSL and shaders with experience applying them in rendering video effects or interactive systems.
Familiarity with visual effects (VFX) pipelines video post-production or real-time graphics for film television or games.
Proficiency in MLOps scalable inference and AV-focused ML training workflows.
A balance of research curiosity and product mindset able to rapidly turn ideas into impactful features.
Passion for building ML-powered features that enhance visual storytelling and creativity.
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
Employment Type
Remote
Company Industry
Key Skills
- Active Directory
- Data Entry
- Clearance
- LAN
- Database Development
- Electronic Discovery
- Peripheral Equipment
- Windows
- QC
- Software Managements
- Data Files
- RAN
- Backup
- Data Processing
- Setup
