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Machine Learning Engineer - Training & Dataset Platform - Remote

Posted 2 days ago
Software Development
Full Time
Australia

Overview

The Machine Learning Engineer will work at the intersection of ML, data systems, and platform engineering to enhance datasets and tooling for training and evaluation, directly impacting AI development speed and quality across Canva.

In Short

  • Build and improve data pipelines and tooling for ML training.
  • Collaborate with ML and applied science teams on scalable solutions.
  • Implement quality controls to enhance data trust and outcomes.
  • Debug issues in data and ML workflows to prevent incidents.
  • Contribute to engineering standards including code quality and documentation.
  • Support developer experience for dataset discovery and experimentation.

Requirements

  • Experience with large datasets and data preprocessing.
  • Strong programming skills in Python and familiarity with ML frameworks.
  • Ability to solve complex problems related to model performance.
  • Excellent communication skills with both technical and non-technical stakeholders.
  • Excitement for working in a fast-paced, product-driven environment.

Benefits

  • Equity packages to share in the company's success.
  • Inclusive parental leave policy for all parents and carers.
  • Annual Vibe & Thrive allowance for wellbeing and office setup.
  • Flexible leave options for personal recharge and support.
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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