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Good Inside builds a parenting app designed to support families from pregnancy through age 18. The company serves parents and caregivers by providing a consistent, science-backed framework developed by clinical psychologist Dr. Becky Kennedy. Its platform includes live workshops, a parent community, expert guidance, and GiGi, an AI guide and chatbot trained on the clinically-grounded Good Inside Method to offer 24/7 support and voice interactions.

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About Good Inside

Good Inside builds a parenting app designed to support families from pregnancy through age 18. The company serves parents and caregivers by providing a consistent, science-backed framework developed by clinical psychologist Dr. Becky Kennedy. Its platform includes live workshops, a parent community, expert guidance, and GiGi, an AI guide and chatbot trained on the clinically-grounded Good Inside Method to offer 24/7 support and voice interactions.

In artificial intelligence and machine learning, Good Inside develops AI-powered features to deliver personalized parenting guidance to users. The company integrates machine learning models and third-party ML APIs into its platform, building backend infrastructure, data pipelines, and services that support model serving, feature storage, and real-time personalization.

The open roles indicate that Good Inside is building an engineering team focused on backend systems and practical machine learning applications. The company is hiring for a Machine Learning Engineer role based in New York, which functions as a backend engineering position dedicated to shipping production-grade machine learning features, APIs, and scalable infrastructure rather than pure research or data science.

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