Description

Canva seeks a Machine Learning Engineer to build data pipelines and tooling for multimodal agent research. Collaborate with researchers to turn ideas into trainable reality.

Experience Level

Senior

Responsibilities

• Design and build data pipelines for agent training
• Develop tooling for dataset construction
• Own data quality and build validation frameworks
• Create evaluation datasets and benchmarks
• Build and maintain infrastructure for data loading and storage
• Collaborate with research scientists to translate requirements
• Document datasets thoroughly
• Profile and optimize research code for efficiency
• Elevate codebase quality through reviews and best practices
• Contribute to team roadmaps by identifying data bottlenecks

Requirements

• Strong software engineering skills in Python
• Experience building production-grade data pipelines and ML DevOps
• Practical experience with prompt engineering
• Experience with ML data workflows and large-scale data processing
• Hands-on experience with data pipelines for distributed ML training
• Familiarity with annotation tooling and human-in-the-loop data collection
• Understanding of ML training requirements
• Experience with cloud infrastructure and distributed storage systems
• Strong communication skills
• Collaborative approach and ownership

Nice to Have

• Experience with preference data collection for RLHF
• Familiarity with multimodal data
• Experience building synthetic data generation pipelines
• Background in data quality metrics and monitoring systems
• Contributions to dataset releases or benchmarks in the ML community