Data Science ML Intern: Fetal Ultrasound AI

Sonio; Paris; On-site; EUR 16,000 - 20,000; Full time

Job summary

Sonio is seeking a DS/ML Engineer intern to bridge R&D, ML engineering and product work. You will contribute to deep learning and computer vision pipelines for prenatal imaging, under the guidance of senior ML engineers.

You will gain hands-on experience with medical imaging data, model evaluation, and collaboration across teams, with emphasis on learning and publication opportunities where appropriate.

Qualifications

• Currently in Master 2 / Bac+5 of Engineering School or University, majoring in Computer Science or Data Science and seeking a 5–6 month internship.
• Strong knowledge of Machine Learning and Deep Learning algorithms, willingness to explore state-of-the-art methods.
• Solid Python and PyTorch/HuggingFace, comfortable with segmentation and detection architectures.
• Interest in computer vision and women’s health; medical imaging experience is a plus.
• Fluent in English; French is a plus.

Responsibilities

• Develop understanding of fetal ultrasound anatomy in your focus areas.
• Explore and train detection and segmentation approaches and integrate results into ML infrastructure (AWS, SageMaker, MLflow).
• Investigate training Foundation Models for Ultrasound Imaging.
• Run evaluation protocols and document experiments for potential publication.

Skills

Machine Learning

Deep Learning

Python

PyTorch

HuggingFace

Computer Vision

Medical Imaging

Education

Master 2 / Bac+5 in Engineering School or University

Tools

AWS SageMaker

MLflow

Job description

Sonio is seeking a DS/ML Engineer intern to bridge R&D, ML engineering and product work. You will contribute to deep learning and computer vision pipelines for prenatal imaging, under the guidance of senior ML engineers.

You will gain hands-on experience with medical imaging data, model evaluation, and collaboration across teams, with emphasis on learning and publication opportunities where appropriate.