Senior Machine Learning/Computer Vision Engineer

At the moment, this role is focused on:

• Working collaboratively as part of a team of machine learning engineers, frontend engineers, backend developers, designers, and quality assurance engineers to develop, implement, and improve Canva product visualizations (called Mockup) and 3D features with AI
• Taking ownership of the ML projects you are working on. We have many novel products in our pipeline that we can’t write about publicly right now. Drive the planning of the project and iterate on the AI features to achieve the best and most magical solution possible in order to foster innovation at Canva.
• Staying updated on machine learning trends is essential for your role. It ensures that the features we release in Canva empower users to design and edit photos using the latest technology and gives Canva an edge in a constantly evolving technological landscape.
• Setting up data augmentation pipelines and performing hyper-parameter searches to build production-ready AI solutions that meet the quality requirements of Canva.
• Implementing automated testing and suitable metrics to monitor the performance of our AI features in production.

You're probably a match if

• You have a Master's (ideally Ph.D.) degree in Computer Science (or similar), focusing on machine learning & published papers in peer-reviewed journals and conferences.
• You have a solid understanding of computer vision, especially the concepts of convolutional neural networks (CNNs), transformers, generative adversarial networks, and diffusion models.
• Proficiency with the following technologies is required to be set up for success in this position: Deep learning frameworks (PyTorch gives bonus points, other frameworks like Tensorflow or JAX), Python 3, NumPy, OpenCV, Docker & Kubernetes.
• You have a solid understanding of modern software engineering principles, Python 3 classes and inheritance, multithreading, testing, and QA to write clean code.
• Nice to have: Experience with JavaScript, node.js, react, typescript, or (WebGL) shaders to prototype new AI features in our internal, flexible, and easy-to-use testing environment.
• Our projects require picking up knowledge of the state-of-the-art of a specific ML topic quickly (Example 1,Example 2) since most projects start with a phase of literature research and communicating the context to the team (across timezones).
• You have a proven sense of ownership and are eager to find and develop novel solutions to challenging problems, such as developing ML models for processing large images (having up to 24 megapixels) in a memory-efficient and runtime-efficient manner proactively.
• You are an excellent communicator and teammate, keen to work with your colleagues and brainstorm ideas together.