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CACanva

Senior Machine Learning Engineer - Agents data(m/w/x)

Wien
Full-timeRemoteSenior
AI/ML
Data Science

Designing and building data pipelines for agent training from multimodal sources at fast-growing design platform. Hands-on experience with ML data pipelines and prompt engineering required. Equity packages, inclusive parental leave, flexible leave options.

Requirements

  • Strong software engineering skills in Python
  • Practical experience with prompt engineering
  • Experience with ML data workflows
  • Hands-on experience with data pipelines for ML training
  • Familiarity with annotation tooling and data collection
  • Understanding of ML training requirements
  • Experience loading and writing large datasets to/from cloud infrastructure
  • Strong communication skills
  • Collaborative approach and ownership
  • Experience with preference data collection for RLHF
  • Familiarity with multimodal data
  • Experience building synthetic data generation pipelines
  • Background in data quality metrics and monitoring
  • Contributions to dataset releases or benchmarks

Tasks

  • Design and build data pipelines for agent training
  • Collect, filter, deduplicate, format, and version data from multimodal sources
  • Develop tools for dataset construction, including annotation workflows and synthetic data generation
  • Own data quality by building validation frameworks and monitoring for drift and contamination
  • Create evaluation datasets and benchmarks in collaboration with researchers
  • Build and maintain infrastructure for efficient data loading, storage, and retrieval
  • Collaborate with research scientists to translate research requirements into data specifications
  • Document datasets thoroughly, including provenance and intended use cases
  • Profile and optimize research code for training and inference efficiency
  • Implement comprehensive test coverage for data pipelines and ML workflows
  • Elevate codebase quality through code reviews and refactoring
  • Contribute to team roadmaps by identifying data bottlenecks and proposing solutions

Work Experience

  • approx. 4 - 6 years

Education

  • Bachelor's degreeOR
  • Master's degree

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • Python
  • Ray
  • AWS

Benefits

Competitive Pay

  • Equity packages

Generous Parental Leave

  • Inclusive parental leave policy

Additional Allowances

  • Annual Vibe & Thrive allowance

Workation & Sabbatical

  • Flexible leave options
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