Data Science Video Engineer

1 week ago

Sydney, New South Wales, Australia Canva Full time
About the Role

As a key member of our video-ai team, you will play a critical role in shaping the future of video editing and social media content creation for millions of users worldwide. We are on an exhilarating journey to introduce a customer-focused, intuitive, and powerful video editing platform that seamlessly integrates with the Canva ecosystem.

We're looking for an experienced Data Science Video Engineer to join us in scaling the impact of machine learning across Canva. In this role, you will be responsible for building user-driven ML features for Canva's Video editor, doing hands-on ML algorithmic work involving audio and/or visual cues, and engineering implementation: developing and implementing ML models and features, as well as using third-party APIs and pre-trained models when appropriate.

What You'll Be Doing

This role is focused on a range of exciting tasks, including:
  • Building user-driven ML features for Canva's Video editor
  • Doing hands-on ML algorithmic work involving audio and/or visual cues
  • Engineering implementation: developing and implementing ML models and features, as well as using third-party APIs and pre-trained models when appropriate
  • Running offline and online experiments
  • Contributing to the full life cycle of ML/data models: data analysis, data preprocessing and pipeline, modelling, tuning and productisation
  • Improving the scalability, speed and performance of existing models
  • Working alongside data specialists, software engineers and product owners to identify business and growth opportunities
  • Sharing and articulating statistical analysis, modelling, experiment and results to technical and non-technical audiences

What We're Looking For

To succeed in this role, you will need to have:
  • Proven industry experience in a machine learning / software engineering role
  • Experience building and deploying machine learning models in a cloud environment
  • Strong understanding of end-to-end machine learning pipelines and components
  • Strong coding proficiency in Python, interviews will be in Python
  • Familiarity with several of the following: Tensor Flow, Py Torch, scikit-learn, Kubernetes, Docker, Solr/Elastic Search
  • Previous experience with computer vision / multi-modal approaches
  • Experience with LLMs / Diffusion models is preferred
  • Strong research skills: the ability to dig through deep learning literature and translate this into product and value for users
  • Strong understanding of Computer Science / Engineering fundamentals and first principles covering system design, data structures, architecture, and design patterns
  • Excellent collaboration and communication skills

What We Offer

We offer a competitive salary of AU$140,000 - AU$180,000 per annum, plus benefits including equity packages, inclusive parental leave policy, an annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more, and flexible leave options that empower you to be a force for good, take time to recharge and supports you personally.

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