Sr. Machine Learning Engineer

Master's degree in Computer Science or similar 5+ years of work experience in machine learning and data engineering Experience launching production systems from the ground up Proficiency in one or more programming languages such as Python and C++ Development experience with cloud platforms such as Spark, AWS & k8s Knowledge of ML frameworks such as Scikit-Learn, Pytorch & TensorFlow Full-stack development experience for an end-to-end ML solution Ideal experience with Large Language Models, including both open source model deployment and agentic workflows

Participate in developing state-of-the-art ML solutions to address large-scale healthcare problems Help develop pipelines that collect, preprocess, and deliver data with a measurable quality Write production-ready software with well-tested and efficient algorithms Develop state-of-the-art ML algorithms across computer vision, large-language models, and probabilistic inference Own ML services end-to-end, including problem discovery, data pipeline development, inference optimizations, model experimentation, and service deployment Help build novel, application-specific ML models