Senior Full-Stack Engineer: ML-Driven Healthcare Platform

Raidium; Paris; Hybrid; EUR 50,000 - 70,000; Full time

Benefits offered by this job

Access to premium computing hardware

Competitive salary

Real impact on people's lives

Job summary

A healthcare technology company in Paris seeks a Full-stack Software Engineer to develop the Raidium product while integrating Machine Learning models. The ideal candidate will have a Master’s degree in Computer Science or related fields, experience in full-stack development using Python and JavaScript, and a willingness to work in the healthcare industry. You will design components, collaborate with ML engineers, and contribute to impactful healthcare solutions. A competitive salary and modern work environment are offered.

Qualifications

• Proficient in full-stack development with experience in modern programming languages.
• Willingness to work in the healthcare industry.
• Fluent in English with excellent communication skills.

Responsibilities

• Design, implement, and maintain both front-end and back-end components.
• Collaborate with ML Engineers to integrate advanced machine learning models.
• Build infrastructure and pipelines for growth in users and data.

Skills

Full-stack development

Python

JavaScript

React

FastAPI

Machine Learning

Communication skills

Education

Master’s degree in Computer Science or related field

Tools

Docker

Kubernetes

GCP

AWS

Azure

Job description

About the company

Raidium is building a foundation Model for precision medicine in radiology. Our first release, Curia is already state of the art. Our model is embedded in a new type of solution for the radiologist that enables a revolutionary AI-native workflow. Thanks to a 16M€ seed round raised in November 2024, Raidium is expanding its team.

The team

The founders of Raidium are experts in radiology and machine learning from Owkin, bringing together extensive experience from both fields.

• Paul Herent, CEO, is a radiologist and former interne des hôpitaux de Paris, with a Cogmaster (ENS) and PSL background, and has published pioneering research on deep learning in radiology.
• Pierre Manceron, CTO, is a Centrale Paris engineer specialized in Applied Mathematics and Machine Learning, who previously led machine learning projects at Owkin.
• Sebastian Schwarz, COO, holds a double degree in X-HEC Data Science & Business, who previously worked as a Strategy & Operations Director at Owkin, where he developed Owkin’s strategic vision and operational agency.

Our team brings together strong academic foundations (Polytechnique, Ponts, MVA) and deep medical, AI, and business experience from leading medical and tech companies such as Owkin, Cardiologs, Datadog, and Meta, all united by a mission to revolutionize radiology through cutting-edge technology.

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 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…

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 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