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Senior Machine Learning Engineer - AI Effects and Editing

Posted January 09, 2026
Full-time Mid-Senior Level

Job Overview

About the Role/Specialty

As an MLE on the Video Effects stream, you’ll design, fine-tune, and deploy models that power Canva’s next-generation video effects, AI editing and interactive experiences. From integrating on-device AI capabilities to building scalable backend pipelines, you’ll bridge research and production — transforming ML ideas into delightful, real-time features for our users.

关于岗位

作为视频特效方向的算法工程师,你将负责设计、微调并部署支持 Canva 下一代视频特效、智能编辑和互动体验的模型。从集成端侧 AI 能力,到构建可扩展的后端流水线,你将连接研究与产品之间的桥梁,把机器学习的创意转化为令人惊喜的实时功能,真正交付给用户。


What you’ll do (responsibilities)

  • Design, fine-tune, and deploy ML models for AI-powered visual effects across image and video modalities.
  • Build robust pipelines for LoRA-based model training, post-training quantization, and inference optimisation.
  • Develop and integrate on-device ML capabilities (MediaPipe, CoreML, NNAPI, etc.) for mobile runtime efficiency.
  • Scale backend services for effect model serving, asset management, and real-time rendering.
  • Prototype novel AI effects using diffusion, computer vision, and shader-driven approaches.
  • Work closely with design and engineering to bring creative ideas to life as user-facing features.
  • Stay informed on emerging trends in generative ML, real-time graphics, and VFX workflows to drive innovation.

工作职责

  • 设计、微调并部署用于图像与视频 AI 特效的机器学习模型
  • 构建稳健的训练流水线,支持 LoRA 微调、量化后处理及推理优化
  • 开发并集成端侧 ML 推理能力(如MediaPipe、 CoreML、NNAPI 等),提升移动设备运行效率
  • 搭建可扩展的后端服务,用于模型部署、特效资产管理与实时渲染
  • 利用 Diffusion 模型、计算机视觉与 Shader 技术,原型化并验证创新 AI 特效
  • 与设计与工程团队紧密合作,将创意想法转化为用户可交互的产品功能
  • 跟踪生成式 ML、实时图形与视觉特效领域的行业动态,推动产品创新

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