ML Engineer Intern - Fetal Ultrasound Imaging

sonio; France; On-site; EUR 10,000 - 13,000; Full time

Job summary

Sonio is seeking a DS/ML Engineer intern to join its Data Science team, bridging R&D, ML engineering and product. You will work on developing of our Deep Learning/Computer Vision pipelines using state-of-the-art algorithms.

Responsibilities include understanding fetal ultrasound anatomy, training detection/segmentation models, and integrating results into our AWS/SageMaker/MLflow infrastructure. Strong ML/DL knowledge and Python are required; English is essential, French is a plus.

Qualifications

• Currently pursuing Master 2 / Bac+5 in CS/DS, 5–6 month internship.
• Strong knowledge of ML/DL algorithms and Python.
• Experience with PyTorch/HuggingFace and CV tasks.
• Fluent in English; French is a plus.

Responsibilities

• Develop clinical understanding of fetal ultrasound in the anatomical areas you will work on.
• Explore and train different approaches for Detection and Segmentation of anatomical structures and views, and integrate results in ML infrastructure (AWS, SageMaker, MLflow).
• Explore the possibility of training Foundation Models for Ultrasound Imaging.
• Run evaluation protocols and document experiments; publication possible if results support it.

Skills

Machine learning

Deep learning

Python

PyTorch/HuggingFace

Computer vision

English proficiency

French (optional)

Education

Master 2 / Bac+5 in Engineering or related (CS/DS)

Tools

AWS

SageMaker

MLflow

Job description

Sonio is seeking a DS/ML Engineer intern to join its Data Science team, bridging R&D, ML engineering and product. You will work on developing of our Deep Learning/Computer Vision pipelines using state-of-the-art algorithms.

Responsibilities include understanding fetal ultrasound anatomy, training detection/segmentation models, and integrating results into our AWS/SageMaker/MLflow infrastructure. Strong ML/DL knowledge and Python are required; English is essential, French is a plus.