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Machine Learning Engineer - Ecosystem Experiences - Remote

Posted 1 week ago
Software Development
Full Time
Australia

Overview

Join the team redefining how the world experiences design.

In Short

  • Focus on improving and streamlining the review process of third-party apps.
  • Develop machine learning systems for compliance and security.
  • Leverage computer vision for UI evaluation and feedback.
  • Experiment with ML, LLM, and NLP techniques.
  • Build intelligent recommendation systems for developers.
  • Integrate AI into existing review workflows.
  • Collaborate with engineering and UX teams.
  • Work in a dynamic and evolving environment.
  • Shape developer interactions with Canva through AI.
  • Be part of a mission-driven team focused on app ecosystem growth.

Requirements

  • Experience in machine learning for automated review processes.
  • Skilled in computer vision and screen analysis.
  • Experience with Large Language Models.
  • Ability to build proactive recommendation systems.
  • Proficient in Python and ML frameworks.
  • Enjoy collaborating in cross-functional teams.
  • Passionate about solving real-world challenges.

Benefits

  • Equity packages for shared success.
  • Inclusive parental leave for all parents and carers.
  • Annual Vibe & Thrive allowance for wellbeing.
  • Flexible leave options for personal recharge.
  • Supportive and inclusive work environment.
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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