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Staff ML/AI Engineer

Maven Clinic ·US ·Hybrid, Remote 9d ago
LangChainPythonGoJavaKubernetes

About the role

Maven Clinic, the world's largest virtual clinic for women and families, is hiring a Staff ML/AI Engineer. The role involves designing and deploying end-to-end AI-powered solutions using foundation models (OpenAI, Gemini) and orchestration techniques (RAG, agents). The engineer will collaborate cross-functionally with product, data, and engineering teams to turn healthcare data into actionable insights and intelligent workflows, build ML pipelines, and drive architecture decisions.

Requirements

Strong track record in building AI-powered applications with foundation models and orchestration (RAG, LangChain, vector search) or deep data science experience across the lifecycle. Experience integrating models via OpenAI/Google Vertex AI, working with health datasets. Proficiency in Python and additional languages (Go, Java), cloud-native systems, ML deployment workflows. Minimum 8 years in backend/platform/ML. Bachelor's or Master's in CS or related field.

About the company

Maven Clinic

Maven is a leading digital health company that empowers employers and health plans to offer comprehensive healthcare solutions for women and families. They provide virtual care, expert support, and data-driven insights across various life stages, from fertility and maternity to menopause and pediatrics. Maven's platform aims to improve health outcomes and reduce costs through a vast network of providers and evidence-based care.

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$220k–300k
Hybrid, Remote New York, NY; Remote, US (Hub cities)New York, United States
Posted 9d ago
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About the company
Maven Clinic
https://www.mavenclinic.com

Maven is a leading digital health company that empowers employers and health plans to offer comprehensive healthcare solutions for women and families. They provide virtual care, expert support, and data-driven insights across various life stages, from fertility and maternity to menopause and pediatrics. Maven's platform aims to improve health outcomes and reduce costs through a vast network of providers and evidence-based care.

View company page →