Senior Machine Learning Engineer - Multimodal Data

Canva

London, United Kingdom
On-site
Python software engineering
Production-grade data pipelines
Ml devops experience
Join the team redefining how the world experiences design by building AI that feels magical and lands real impact for millions of people

Job Summary

  • Join the team redefining how the world experiences design by building AI that feels magical and lands real impact for millions of people.
  • You'll be responsible for the data lifecycle that fuels agent research, from collection and curation through to preprocessing, quality assurance, and delivery into training pipelines.
  • We offer equity packages, inclusive parental leave, an annual Vibe & Thrive allowance, and flexible leave options.

Matching Summary

Join the team redefining how the world experiences design by building AI that feels magical and lands real impact for millions of people.

Skills & Requirements

Must-have

  • Python software engineering
  • Production-grade data pipelines
  • ML DevOps experience
  • Large-scale data processing
  • Cloud infrastructure (AWS)
  • Distributed storage systems

Nice-to-have

  • Preference data collection
  • Multimodal data familiarity
  • Synthetic data generation
  • Data quality metrics monitoring
  • Community dataset contributions

Key Requirements

  • Strong software engineering skills in Python
  • Experience building production-grade data pipelines
  • Experience with ML DevOps
  • Practical prompt engineering experience
  • Experience with ML data workflows
  • Hands-on experience with data pipelines for large-scale distributed ML training
  • Familiarity with annotation tooling
  • Understanding of ML training requirements
  • Experience loading/writing large datasets to/from cloud infrastructure
  • Strong communication skills
  • Collaborative approach

Work Rights

Not specified

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