Senior Machine Learning Engineer - Multimodal Data

Canva

Vienna, Austria
Remote
Python software engineering
Production-grade data pipelines
Ml devops experience
We're building AI that feels magical and lands real impact for millions of people - helping anyone create with confidence

Job Summary

  • We're building AI that feels magical and lands real impact for millions of people - helping anyone create with confidence.
  • You'll be responsible for the data lifecycle that fuels our agent research: from collection and curation through to preprocessing, quality assurance, and delivery into training pipelines.
  • We offer a range of benefits to set you up for every success in and outside of work, including equity packages, inclusive parental leave, and a Vibe & Thrive allowance.

Matching Summary

We're building AI that feels magical and lands real impact for millions of people - helping anyone create with confidence.

Skills & Requirements

Must-have

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

Nice-to-have

  • Human-in-the-loop data collection
  • Synthetic data generation pipelines
  • Preference data for RLHF
  • Contributions to ML community
  • Collaborative and iterative approach

Key Requirements

  • Strong software engineering skills in Python
  • Practical prompt engineering experience
  • Experience with ML data workflows
  • Experience with large-scale distributed ML training runs
  • Familiarity with annotation tooling
  • Understanding of ML training requirements

Work Rights

Not specified

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