Full-stack Software Engineer
Paris
R&D /
CDI /
On-site
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,...
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
