Data Science Internship

The role

You will work at the intersection of R&D, ML Engineering and product. You will develop existing Deep Learning/Computer Vision pipelines using State-of-the-art algorithms.

What you will do

• Develop clinical understanding of fetal ultrasound in assigned anatomical areas
• Explore and train different approaches for Detection and Segmentation of anatomical structures and views
• Integrate results in ML infrastructure including AWS, SageMaker, MLflow
• Explore the possibility of training Foundation Models for Ultrasound Imaging
• Run evaluation protocols consistent with regulatory submissions
• Document experiments

Required qualifications

• Currently in Master 2 / Bac+5 of Engineering School or University
• Majoring in Computer Science or Data Science
• Good knowledge of Machine Learning and Deep Learning algorithms
• Solid Python and PyTorch/HuggingFace
• Comfortable with segmentation and detection architectures
• Strong interest in computer vision and women’s health
• Speak English

Nice to have

• A first experience with medical images
• French

About the company

Sonio uses artificial intelligence to improve prenatal screening and diagnosis. The company aims to improve women's and children's health through technological innovation, medical expertise, and collective intelligence.