Raidium develops a new generation of radiological copilot, based on Raidium’s custom-trained Foundation Model. This copilot is a webapp (react + FastAPI) that interacts with the ML Model (Pytorch on GPU).

As Full-stack Software engineer 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,…

• 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