Raidium develops a radiological foundation model as the "GPT" of radiology (manifesto). This new generation of AI will enable the building of an imaging biomarker factory for both clinical practice and research, tackling the complexity of precision medicine.

As Full-stack Software engineer (junior or senior)at Raidium, play a pivotal role in developing the Raidium product and integrating Machine Learning models.

Responsibilities

• Design, implement, and maintain both front-end and back-end components of Raidium product, involving serving ML models and manipulating radiological images
• Collaborate with ML Engineers to integrate advanced ML/Deep Learning models into the platform, ensuring the system is highly accurate and efficient.
• Build the infrastructure and pipelines to support rapid growth in users and data volume without compromising performance.
• Enforce the best practices to ensure code quality and system soundness: automatic testing, linting, typing,...
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Qualification

• Master's degree in Computer Science, Engineering, or a related field.
• Proficient in full-stack development, with experience in modern programming languages (e.g., Python, JavaScript), frameworks (e.g., FastAPI, React) and databases systems.
• Willingness to work in the healthcare industry
• Authorization to work in France
• Fluency in English, with excellent communication and teamwork skills
• Willing to come to the office (2 days remote policy)

Pluses

• Experience in an agile work environment
• Knowledge of machine learning concepts and experience integrating ML models
• Experience with containerization and orchestration tools such as Docker and Kubernetes
• Experience with cloud providers (GCP, AWS, Azure)
• Knowledge of model serving technologies (ex: ray, CUDA)) and parallelization on GPU clusters
• Experience with Radiological images (DICOM, nifti)

Why join us

• Have a real and positive impact on people's lives
• Apply and improve the latest Deep Learning technologies to build an inspiring product
• Be in contact with radiologists in our partner center
• Work with a team of internationally recognized experts
• Work with a diverse team of engineers and medical doctors
• Competitive salary
• Access to premium computing hardware