About
Design and implement machine learning features for production customer workflows Identify and close feature and behavior gaps between ML capabilities and common frameworks Analyze and improve the performance of existing ML code while ensuring stability and correctness
Required Qualifications
5+ years of experience building production software systems Strong proficiency in at least one backend or systems language (e.g., C++, Java, Scala) Experience implementing or integrating machine learning models in production Familiarity with ML libraries or frameworks such as Spark ML, scikit-learn, or XGBoost Strong instincts around correctness, edge cases, and behavioral consistency
Languages
- English
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