Sista ansökningsdag 2026-06-06
Machine Learning Engineer
RaySearch develops innovative software solutions to improve cancer care. About 1000 clinics in more than 40 countries use RaySearch software to improve treatments and quality of life for patients. RaySearch was founded in 2000 and is listed on Nasdaq Stockholm. The headquarters is located in Stockholm, with subsidiaries in the US, Europe and Asia - Pacific. Today we are more than 400 employees with a common vision of improving cancer care with innovative software. Our great staff is crucial for our success and we offer a fantastic working environment in modern offices, flexibility and good opportunities for development. We believe in equal opportunities, value diversity and work actively to prevent discrimination. RaySearch is expanding in the field of machine learning and is looking for a Machine Learning Engineer with strong software engineering skills to join our head office in Stockholm. Joining our team provides you with a unique opportunity to innovate and develop software that improves the lives of cancer patients around the world. About the job You will be part of an agile team developing machine learning solutions to improve cancer treatment. As part of the ML Planning team, you will build deep learning models to predict radiation dose distributions used in clinics worldwide. In radiation therapy, treatment planning involves delivering precise radiation to tumors while sparing healthy tissue—a complex optimization problem. Our models predict 3D dose directly from patient data, enabling faster, high-quality treatment plans and significantly reducing the time and expertise required. You will Your work will focus on training, evaluating, and deploying deep learning models for dose prediction, using clinical metrics such as DVH to ensure performance meets medical standards. You will work with real clinical data and collaborate closely with medical experts to validate results. At the same time, you will develop and maintain production code in RayStation, where e
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