Data Science Internship

Sonio

. Develop clinical understanding of fetal ultrasound in the anatomical areas assigned .

Posted 11/10/2026internshipParis • FranceEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Machine Learning and Deep Learning algorithms, with a strong foundation in Python and PyTorch/HuggingFace for developing and evaluating models in fetal ultrasound imaging. Engages in collaborative research and development, integrating results into ML infrastructure while documenting experiments for team advancement.

Highest-signal resume keywords

Machine Learning AlgorithmsDeep Learning AlgorithmsPython ProgrammingPyTorch/HuggingFaceComputer Vision

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningDeep LearningSegmentation ArchitecturesDetection ArchitecturesModel Evaluation

Soft Skills

Willingness to ExploreStrong Interest in Women's Health

Tools & Technologies

AWSSageMakerMLflow

Industry Keywords

Fetal UltrasoundMedical ImagingRegulatory SubmissionsFoundation Models

Tech Stack

Tools & technologies

AWSPythonPyTorch

About the role

Key responsibilities & impact

Develop clinical understanding of fetal ultrasound in the anatomical areas assigned
Explore and train approaches for detection and segmentation of anatomical structures and views
Integrate results into the ML infrastructure using AWS, SageMaker, and MLflow
Explore training Foundation Models for Ultrasound Imaging
Run evaluation protocols consistent with model evaluations during regulatory submissions
Document experiments so the team can build on them
Work at the intersection of R&D, ML Engineering, and product under the supervision of senior ML engineers

Requirements

What you’ll need

Currently in Master 2 / Bac+5 of Engineering School or University, majoring in Computer Science or Data Science
Looking for an internship lasting between 5 and 6 months
Good knowledge of Machine Learning and Deep Learning algorithms
Willingness to explore and work on state-of-the-art algorithms
Solid Python and PyTorch/HuggingFace knowledge
Comfortable with segmentation and detection architectures
Strong interest in computer vision and women’s health
A first experience with medical images is a plus
Speak English and ideally French
Interest in Sonio’s mission is critical

Benefits

Comp & perks

Publication is possible and encouraged if the results support it
Internship lasting between 5 and 6 months