Machine Learning Engineer - Medical Image Analysis

RaySearch develops innovative software solutions to improve cancer care. Over 1200 clinics in more than 54 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, Asia and Australia & New Zealand. Today we are more than 485 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 looking for a machine learning engineer with strong experience in medical image analysis to join our ML Imaging team in Stockholm. You will develop deep learning algorithms for medical image analysis in RayStation, our radiotherapy treatment planning system, helping clinical teams deliver effective cancer treatments. RayStation is used at more than 1,000 cancer clinics in more than 50 countries. About the role You will develop machine learning models for use in clinical practice, working on medical image segmentation, synthetic CT generation, image registration, and other medical imaging applications. Working closely with internal clinical specialists and external partner clinics, you will translate clinical needs into methods and models and evaluate their performance. You will also collaborate with regulatory and quality experts to ensure that algorithms are developed, validated, and documented in accordance with applicable medical device requirements. You will Develop and evaluate deep learning algorithms for medical imaging using Python and PyTorch. Prepare and curate clinical imaging datasets, configure and run model training, and maintain reproducible training workflows. Review relevant research and assess the suitability of methods for clinical applications. Design experiments and evaluate model performance using appropriate quantitative measures and clinical acceptance criteria. Collaborate with clinical experts and external clinics on development and validation. Contribute to the testing and documentation required for medical device software.

Your profile You have strong experience in medical image analysis. You enjoy investigating problems, testing ideas, and turning promising methods into machine learning models. You take ownership of your work, can plan and carry out development independently, and know when to involve colleagues. You value collaboration, careful evaluation, and clear documentation, and are motivated by improving cancer care. Requirements A PhD or master’s degree in computer science, machine learning, engineering, mathematics, physics, or a related field. At least four years of relevant experience in machine learning or medical image analysis, gained through research or industry, including doctoral research. Extensive experience developing and evaluating deep learning models for medical image analysis. A strong understanding of deep learning, computer vision, statistics, and applied mathematics. Strong programming skills in Python and hands-on experience with PyTorch. Familiarity with software engineering practices, including version control, testing, and code reviews. Excellent spoken and written communication skills in English.

Meriting Experience with 3D medical imaging, particularly CT, MR, or CBCT. Experience with one or more of medical image segmentation, image registration, or image synthesis. Experience developing and validating medical device software or other regulated software. Experience with tools for experiment tracking, data versioning, and reproducible training workflows.

Our Culture  At RaySearch, we share a passion for innovation and the fight against cancer. Our team consists of dedicated experts who strive to deliver exceptional results…