Stage en Machine Learning - Lyon e, France - Kurage

Description

At Kurage, we're a passionate team leveraging technological innovation to redefine the rehabilitation of hemiplegic patients.

Our approach involves integrating Artificial Intelligence into our neuroprostheses to enable rehabilitation through physical activity, opening new horizons for individuals with impaired motor functions.

Job Description:

As an intern in Machine Learning at Kurage in Lyon, you'll be immersed in a dynamic startup environment, fostering exploration, experimentation, and creativity.

Your mission will be to actively contribute to the development of Machine Learning models to optimize our neuroprosthesis for more effective rehabilitation.

Main Responsibilities:

• Lead and manage the data acquisition process to gather relevant datasets for training the ML models.
• Implement effective data annotation strategies, ensuring highquality labeled datasets
• Contribute to research and development of ML models to enhance our neuroprosthesis control.
• Train and optimize neural networks to address specific patient needs.
• Rigorously evaluate model performance in terms of effectiveness and customization of rehabilitation.

Profile:


Required Skills:

• Excellent proficiency in Python development.
• Good knowledge of Machine Learning with practical experience in frameworks like TensorFlow, PyTorch, etc.
• Understanding of neural networks (CNN, RNN, Transformers).
• Signal processing.

Additional Assets:

• Strong communication skills for effective collaboration with medical teams and patients.
• Experience using Git and good software development practices.
• Knowledge in embedded programming, IMU and EMG sensors.
• Familiarity with AWS and Docker.

Additional Information:

• Contract Type: Internship (5 to 6 months).
• Location: Lyon.
• Education Level: Bachelor's + Master's degree.

Feel free to send us your CV and a letter reflecting your energy and vision, even if you don't meet all the criteria


Type d'emploi :
Stage

Durée du contrat : 6 mois

Salaire : 4,35€ à 4,40€ par heure

Nombre d'heures : 35 par semaine


Avantages:

• Prise en charge du transport quotidien

Programmation:

• Du lundi au vendredi
• Travail en journée

Lieu du poste :
En présentiel