Senior Computer Vision Engineer – Photo AI, Canva

Senior Computer Vision Engineer - Photo AI,  Canva

Company Canva
Job title Senior Computer Vision Engineer – Photo AI
Job location London, England, United Kingdom
Type Full Time

Responsibilities:

  • Build ML models for AI-based photo editing. This also heavily involves staying up-to-date with the literature and evaluating state-of-the-art models that are applicable for commercial use.
  • Take over project ownership responsibilities and drive projects with specialties like Frontend and Backend to success. This involves ownership of the project timeline, and collaboration with Design and Product to achieve the best-fitting product for Canva.
  • Stay up-to-date with the very recent advances of AI for photo editing, and you bring new ideas to the team for new AI-based features that our team should build
  • Improve the quality of our existing features, by improving our quality evaluation processes and by bringing new ML ideas to the team
  • Boost the efficiency of our existing features through code optimization, incorporating new models or Python libraries, or re-evaluating and speeding up our full stack.
  • Collect data that we need for model training or model evaluation or you delegate that to the Data Labelling team.

Requirements & Skills:

  • 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.
  • You are proficient with: Deep learning frameworks (Pytorch gives bonus points, alternatively other frameworks like Tensorflow or JAX), Python 3, Numpy, OpenCV, Docker & Kubernetes.
  • You are able to pick up knowledge of the state-of-the-art of a specific ML topic quickly since most projects start with a phase of literature research and communicating the context to the team (across time zones).
  • You have a deep understanding of machine learning at scale, including training sophisticated models on big datasets. You’re experienced in deploying these models on cloud platforms to efficiently serve millions of users.
  • You have a demonstrable sense of ownership and are eager to find and develop novel solutions to challenging problems, such as developing ML models for processing large images in a memory-efficient and runtime-efficient manner.
  • You are an excellent communicator and teammate, keen to work with your colleagues and brainstorm ideas together.

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