Data Science Internship

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

About Sonio

Each year, 140M children are born. Birth defects affect 1 in 33 births in developed countries, and in 50% of cases, they are not detected during prenatal examinations. Prenatal medicine is particularly complex, and the scans impose heavy responsibilities on healthcare professionals. They can also be a source of stress for future parents.

Resulting from 5 years of collaboration between world-renowned experts from Necker Hospital and Ecole Polytechnique, Sonio uses artificial intelligence to improve prenatal screening and diagnosis. Based on patented algorithms and a proprietary expert database, Sonio aims to become the reference tool to help practitioners improve screening, reduce diagnostic errors, and optimize pregnant women’s medical path.

Sonio’s mission is to improve women’s and children’s health by promoting access and quality of care through technological innovation, medical expertise, and collective intelligence.

About the role

We are looking for a DS/ML Engineer intern to join our Data Science team. Your mission will at the crossing of R&D, ML Engineering and product, supervised by senior ML engineers. You will work on developing of our existing Deep Learning/Computer Vision pipelines using State-of-the-art algorithms.

Your main mission will be to:

• 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 your results in our ML infrastructure (AWS, SageMaker, MLflow),
• Explore the possibility of training Foundation Models for Ultrasound Imaging,
• Run evaluation protocols consistent with the way our models are evaluated during regulatory submissions, and document your experiments so the team can build on them. Publication is possible and encouraged if the results support it.

About the profile

• Currently in Master 2 / Bac+5 of Engineering School or University, you are majoring in Computer Science or Data Science and are looking for an internship lasting between 5 and 6 months,
• Good knowledge of Machine Learning and Deep Learning algorithms, and the willingness to explore and work on state-of-the-art algorithms,
• Solid Python and PyTorch/HuggingFace, and comfortable with segmentation and detection architectures,
• Strong interest in computer vision and women’s health. A first experience with medical images is a plus,
• You speak English and ideally French.

We move fast and aspire to be transparent over the process - our objective is that the process from the first chat to an offer is no longer than a month. We also aspire to give an answer to every application in a week - if you have not heard from us, please follow up at [e-mail].