Senior Machine Learning Engineer - Elements Platform (AU remote)

Added
2 hours ago
Type
Full time
Salary
Salary not provided

Related skills

machine learning model deployment monitoring data pipelines experimentation
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๐Ÿ“‹ Description

  • Design, build, and ship ML models for content generation and quality scoring.
  • Own ML lifecycle: data pipelines to deployment and monitoring.
  • Partner with Content Engine, CORE AI Research, AI Media, and Discovery teams.
  • Diagnose issues in model performance and production reliability.
  • Run experiments to validate ML approaches with clear metrics.
  • Contribute to engineering standards and tooling for ML development.

๐ŸŽฏ Requirements

  • Experience building and deploying ML systems in production
  • Own ML problems end-to-end, from framing to live deployment
  • Balance model quality, latency, and cost in decisions
  • Collaborates with engineers, product and content teams
  • Thrives in ambiguous problems; curiosity-driven
  • Experience scaling ML for large content platforms

๐ŸŽ Benefits

  • Equity packages available
  • Inclusive parental leave for all parents & carers
  • Annual Vibe & Thrive allowance for wellbeing
  • Flexible leave options to recharge
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