The role
As a Full-stack Software engineer at Raidium, play a pivotal role in developing the Raidium product and integrating Machine Learning models.
- Design, implement, and maintain both front-end and back-end components of the 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 best practices to ensure code quality and system soundness: automatic testing, linting, typing, etc.
You will work with the R&D team, composed of Software Engineers and ML Engineers, and you will be managed by Alexandre Blondin, our Lead Software Engineer.
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 database 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 (e.g., 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.