SupportLogic delivers the world’s first support experience (SX) platform that enables companies to proactively understand and act on the voice of the customer to build healthy relationships and maximize customer lifetime value. SupportLogic SX uses AI to extract and analyze customer sentiment signals from both structured and unstructured data and provides recommendations and collaborative workflows. SupportLogic is helping global enterprises prevent customer escalations, reduce churn and elevate the customer support experience.

SupportLogic

Machine Learning Engineer

• Create and leverage cutting-edge ML models that extract signals from unstructured data
• Increase velocity of ML model deployment into production through automation
• Enrich and automate model validation to increase confidence of model rollouts
• Provide insight into accuracy and relevance of ML model predictions by measuring and monitoring data distributions and user engagement/feedback
• Incorporate user feedback/activity into new ML model training by automation of data collection, model retraining, model measurement, etc.
• Provide internal tools or incorporate commercial tools (e.g., ClearML) into data scientist workflows for boosting ML team productivity
• Bridge the gap between ML research and production-grade backend code by integrating new ML models or APIs into production

SupportLogic Jobs in New York City

SupportLogic

Machine Learning Engineer

SupportLogic