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Senior Machine Learning Engineer - Content Management & Distribution - Remote

Posted Yesterday
Software Development
Full Time
Australia

Overview

Join the team redefining how the world experiences design at Canva, where you'll work on revolutionizing content management using AI.

In Short

  • Be the first Machine Learning Engineer in the Content Management & Distribution team.
  • Build multimodal content-understanding pipelines.
  • Design services for similarity search and organization of content.
  • Propose and prototype innovative AI features.
  • Scale solutions for enterprise brands.
  • Mentor other engineers in AI skills.
  • Guide major project implementations and keep the team in sync.
  • Advocate for best practices in performance and reliability.

Requirements

  • 5+ years of experience with large-scale ML or recommender systems.
  • Deep knowledge of computer vision and language modeling.
  • Hands-on expertise with LLMs and vector databases.
  • Strong software engineering skills, especially in Python.
  • Experience with ML frameworks like PyTorch or TensorFlow.
  • Ability to work in cross-functional teams.
  • Product mindset and clear communication skills.
  • Passion for solving real-world challenges with AI.

Benefits

  • Equity packages for employees.
  • Inclusive parental leave policy.
  • Annual Vibe & Thrive allowance for wellbeing.
  • Flexible leave options for personal recharge.
Canva logo

Canva

Canva is a dynamic design platform that is revolutionizing the way individuals and businesses create visual content. With its flagship campus in Sydney, Australia, and operations in Austria focused on AI product development, Canva empowers its employees, known as Canvanauts, to choose their work environment and balance. The company is committed to innovation, particularly in the realm of artificial intelligence, as seen in its successful product remove.bg, which offers automated background removal services. Canva fosters a culture of collaboration, data-driven decision-making, and inclusivity, providing a range of benefits to support the well-being and success of its team members.

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