Full-stack Software Engineer

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Paris
EUR 40 000 - 80 000
Faites partie des premiers candidats.
Aujourd’hui
Description du poste

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 a Full-stack Software Engineer (junior or senior) at Raidium, you will 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 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 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, including automatic testing, linting, and typing.

Qualifications

  • 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 work in-office (2 days remote policy).

Pluses

  • Experience in an agile work environment.
  • Knowledge of machine learning concepts and experience in 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.
  • Collaborate with radiologists at our partner center.
  • Work with a team of internationally recognized experts.
  • Join a diverse team of engineers and medical doctors.
  • Competitive salary.
  • Access to premium computing hardware.
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