Machine Learning Engineer

<h3 data-section-id="1p01kxj" data-start="213" data-end="237">About Radformation</h3> <p data-start="238" data-end="538">Radformation is transforming the way cancer clinics deliver care. Every line of code, every product release, and every conversation with our customers brings us closer to ensuring no patient’s treatment quality depends on where they live.</p> <h3 data-section-id="1qmwure" data-start="1073" data-end="1100">Why This Role Matters</h3> <p data-start="1101" data-end="1296">In this role you will help advance Radformation’s AI-driven radiotherapy products by building and improving machine learning models that directly impact clinical workflows and patient outcomes.</p> <p data-start="1298" data-end="1492">You will work closely with AI, cloud, research, and product teams to develop scalable data pipelines, improve model performance, and support regulatory submissions for medical device software.</p> <h3 data-section-id="3j62qx" data-start="1494" data-end="1572">Responsibilities Include:</h3> <ul> <li data-start="1573" data-end="2183">Design, build, and maintain robust ETL pipelines to support AI model development and deployment.</li> <li data-start="1573" data-end="2183">Develop, train, and optimize machine learning models used in radiotherapy software.</li> <li data-start="1573" data-end="218...