Senior Machine Learning Engineer - AI Effects and… at Canva · Beijing

companyDescription 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。 jobDescription 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 rendering pipelines. Proficiency in backend development (e.g., Python, Go) and model-serving architectures. Practical knowledge of computer graphics APIs (OpenGL/OpenGLES) and shader development (GLSL/HLSL). Experience with AI effect tools, video post-production, or multimedia ML use cases is a strong bonus. A mindset that balances research curiosity with rapid product iteration. Full proficiency in English communications. 任职要求 拥有计算机图形学、计算机视觉或计算机动画的学术或项目经验，熟悉以下一项或多项：数值方法、几何处理、物理仿真、角色动画、生成模型（GAN、VAE）或移动端图像处理 有实际微调并部署视觉模型的经验，尤其是面向实时或流媒体场景 熟悉 LoRA 训练、模型量化与剪枝，以及端侧推理优化方法 理解图像/视频模型与视觉渲染管线的集成方式 具备后端开发能力（如 Python 或 Go）及模型服务架构经验 熟悉计算机图形 API（如 OpenGL / OpenGLES）及 Shader 开发（GLSL / HLSL） 有 AI 特效工具、视频后期制作或多媒体 ML 应用经验者优先 兼具研究探索精神与快速产品落地的思维方式 具备良好的英文沟通能力 additionalInformation What you will learn and develop at Canva Learn to ship creative ML features at scale, powering real-time video editing for millions Contribute to an interdisciplinary team bridging product, AI/ML, and design Influence Canva’s future in intelligent creative tools through your research and engineering 在这个岗位上，你将获得： 掌握大规模发布创意型 ML 功能的能力，助力数亿用户实现实时视频编辑 与产品经历、AI科学家和设计师密切协作，参与全流程产品创新 让你的研究与工作真正影响 Canva 智能创意工具的未来发展路径