Senior Machine Learning Engineer AI Effects and Editing

About the Role/Specialty

As an MLE on the Video Effects stream youll design fine-tune and deploy models that power Canvas next-generation video effects AI editing and interactive experiences. From integrating on-device AI capabilities to building scalable backend pipelines youll 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 youll 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 CoreMLNNAPI 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 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:

• 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GANVAE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

Additional Information :

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 Canvas 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

Remote Work :

Yes

Employment Type :

Full-time