Machine Learning Engineer for Medical Applications
il y a 20 heures
At Inria, we strive to create a work environment that supports our employees in their personal and professional growth. Our values are based on three main principles: excellence, equity, and diversity. We aim to promote synergies between researchers and industrialists, leading to the transfer of skills and expertise in digital technologies.
Salary Information
We offer a competitive salary according to profile, estimated to be around €63,000 per year, depending on experience. This amount does not include additional benefits such as subsidized meals, partial reimbursement of public transport costs, or seven weeks of annual leave.
About the Job
This position involves working closely with the INRIA-MAGNET team and the Lille Hospital to develop an open-source library for private and decentralized/federated machine learning and data analysis. The goal is to enable multi-centric medical studies across several hospitals. As part of this project, you will interact with the Magnet team and engineers/doctors from the Lille Hospital. Travel may be required for conferences and community building efforts.
Key Responsibilities
- Developing and extending the existing library for decentralized and privacy-preserving machine learning.
- Integrating the library into information systems of partner hospitals.
- Conducting experiments on synthetic and benchmark medical data.
- Analysing benefits and costs compared to a centralized approach.
- Publishing open-source code and integrating it into existing libraries.
- Publishing scientific results in medical and computer science conferences.
- Strong programming skills in languages like Python, C/C++, R, or Bash.
- A solid understanding of machine learning concepts and their application in medical contexts.
- Effective communication and teamwork skills.
- Flexible working hours and remote work options.
- Access to professional equipment and tools.
- Opportunities for professional growth and skill development.
- Social and cultural events.
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