Data Science Internship

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 Sonio is a mission-driven company so interest in our mission is critical. Other requirements are:
• 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 [email protected].

L’offre est publiée sur le site de Sonio. Ouvrez l’offre originale ↗ pour y déposer votre candidature. Screeningpass ne remplit pas de formulaire à votre place.

Lancez une recherche de contact depuis cette page. Screeningpass vous propose jusqu’à trois personnes liées au poste. Vous choisissez celle à qui écrire, puis Screeningpass cherche son e-mail professionnel et prépare un message. Vous le relisez et l’envoyez vous-même avec Gmail. Une adresse e-mail n’est pas toujours disponible, et une réponse n’est jamais garantie.

Une recherche coûte 1 crédit. Le crédit vous est rendu si la recherche échoue. L’inscription offre 3 crédits, soit 3 recherches.

Screeningpass rassemble des offres de stage, d’alternance et d’emploi publiées par les entreprises. Pour une offre, Screeningpass trouve une personne à contacter dans l’entreprise, cherche son e-mail professionnel et prépare un message à partir de votre CV. Voir le fonctionnement en détail.