ML Platform Engineer

Weights & Biases·San Francisco, CA

DevOps/MLOpsSeniorFull-timeRemote
$170K-$280KPosted 2 months ago

About the Role

Weights & Biases is seeking an ML Platform Engineer to build tools for experiment tracking, model management, and ML observability. You will develop features used by tens of thousands of ML teams to track, visualize, and manage their machine learning workflows.

Requirements

  • 5+ years of software engineering experience
  • Strong skills in Python and Go or TypeScript
  • Experience with ML experiment tracking and management
  • Understanding of ML workflows and best practices
  • Experience with distributed systems and databases

Nice to Have

  • Experience with W&B or similar tools (MLflow, Neptune)
  • Background in ML engineering
  • Experience with data visualization
  • Open-source contribution experience

Benefits

Equity package
Remote work flexibility
Health benefits
Home office stipend
Conference budget
Flexible PTO

Skills

ML PlatformPythonGoExperiment TrackingDistributed SystemsMLOps

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