Senior Machine Learning Engineer - AI Effects and Editing

Senior Machine Learning Engineer - AI Effects and Editing Full-time Recruitment type: Fixed Term Company Description About the Group/Team

We're the Video team within the Design Experience Supergroup, and we’re on a mission to empower every user to tell compelling visual stories through video. We build intuitive, powerful tools and rendering infrastructure that help users go from idea to impact—seamlessly. Together, we’re shaping the future of multimedia creation, and this role will be core to enabling innovation across Canva’s intelligent video editing experiences. 关于团队 我们是Design Experience Supergroup旗下的Video team，肩负着一项使命：赋能每一位用户通过视频讲述引人入胜的视觉故事。我们构建直观、强大的工具和渲染基础设施，帮助用户无缝地将想法转化为有影响力的作品。我们正共同塑造多媒体创作的未来，而这个职位将成为推动 Canva 智能视频编辑体验创新的核心力量。 Job Description 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 Qualifications What we're looking for We’re looking for an MLE with both technical depth and creative instinct — someone who thrives in fast-moving, cross-disciplinary environments. You’ll bring: Academic or practical background in computer graphics, computer vision, or computer animation — with experience in one or more of: numerical methods, geometric processing, physical simulation, character animation, generative models (GAN, VAE), or mobile image processing. Proven experience fine-tuning and deploying computer vision models, particularly for real-time or streaming use cases. Hands-on skills with LoRA training, model post-processing (quantization, pruning), and on-device inference optimisation. Familiarity with image and video ML models and how they integrate into visual or