About the role
Good Inside is seeking a Machine Learning Engineer to join the Engineering team. This role is not research or data science; it's a strong backend engineer with hands-on experience shipping ML-powered features in production. You will design, build, and maintain backend services and APIs that power ML-driven features, integrate ML models and third-party APIs, build data pipelines, and collaborate with cross-functional teams. You should be comfortable with ML concepts and writing production-grade代码
Requirements
5+ years of professional software engineering experience with backend focus, demonstrated experience shipping ML-powered features in production, working knowledge of ML concepts (embeddings, classification, LLMs), hands-on experience integrating ML APIs (OpenAI, Anthropic, etc.), proficiency in Python or other backend language, experience with cloud infrastructure (AWS, GCP, Azure) and containerized deployments, familiarity with data stores and pipelines for ML workloads, excellent communication
About the company
Good Inside
Good Inside is a parenting app offering a science-backed, consistent approach from pregnancy through age 18. It provides a comprehensive library, expert-led events, and a supportive community to help parents navigate the challenges of raising children with clarity and confidence.
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