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Sunset

Machine Learning Engineer

  • Confirmed live in the last 24 hours
  • No salary listed
  • Mid level
  • Full-time
  • On-site · New York
  • 3+ yrs exp
  • Added 1 month ago

About this role

Replay is seeking a Machine Learning Engineer to enhance their system that transforms sensitive enterprise data into de-identified datasets. This is an applied role focused on production and requires a proactive individual to identify and address model weaknesses, build robust datasets, and improve overall data utility. You’ll play a vital role in refining the de-identification pipeline, ensuring both precision and data preservation.

What you'll do

  • Improve NER, entity resolution, and other de-identification systems.
  • Prioritize model improvements based on failure analysis.
  • Design active-learning loops for efficient data labeling.
  • Build datasets and benchmarks for model evaluation.
  • Productionize model improvements with reproducible artifacts.
  • Optimize inference cost, latency, and throughput.

What they're looking for

  • Machine Learning
  • Python
  • NER (Named Entity Recognition)
  • Entity Resolution
  • Data Pipelines
  • Production Systems
  • Precision/Recall/F1

Benefits

  • Startup environment
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Sunset

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