Research Intern

DeepHealth; Paris; Hybrid; EUR 17,000 - 28,000; Full time

Job summary

DeepHealth is seeking a Research Intern to join the X-ray, CT, and MRI ML group in Paris for a six-month end-of-studies internship in France. The role involves pre-training foundation models on large radiology datasets using cloud/HPC, and building vision-language models for medical images.

Open-vocabulary grounding and cross-modality projects may be explored.

Qualifications

• Final-year Master’s or engineering student in machine learning, computer science, applied mathematics, or a related field, seeking a 6-month end-of-studies internship in France.
• Must be eligible for a French internship under a school internship agreement (convention de stage) for the full internship period.
• Strong machine learning fundamentals, including probability, linear algebra, and optimization.
• Solid knowledge of deep learning for computer vision.
• Proficiency in Python and PyTorch.
• Hands-on experience training and debugging deep neural networks; readable, tested code.
• Disciplined experimentation: clear hypotheses, controlled comparisons.
• Ability to work autonomously within a team and communicate clearly in English.
• Preferred: Familiarity with self-supervised learning, vision-language, or multimodal models.
• Preferred: Experience with medical imaging (DICOM, 3D volumes, large images).
• Preferred: Experience training on GPUs, from a single GPU to multi-GPU cluster jobs.
• Preferred: Familiarity with Linux and git.
• Preferred: Familiarity with AI coding agents such as Claude Code or Codex.

Responsibilities

• Learn the clinical context for assigned modalities, including how images are acquired, how pathologies appear, and how radiologists read them.
• Review relevant literature and propose approaches to test for the agreed research subject.
• Train and evaluate models on large-scale medical imaging datasets using cloud and HPC infrastructure.
• Compare results against baselines and report what worked and what did not.
• Contribute tested code to the team's ML monorepo through code review.
• Report progress weekly to the tutor and present results to the team.
• Document the work so the team can build on it, and contribute to a publication where results allow.
• Apply disciplined experimentation, including clear hypotheses, controlled comparisons, and critical reading of results.
• Collaborate with researchers and engineers on the foundation-model and vision-language roadmap as assigned.
• Follow DeepHealth data privacy, security, and research-integrity expectations when working with clinical imaging data.

Skills

Machine learning fundamentals

Deep learning for CV

Python

PyTorch

Autonomy

Disciplined experimentation

English communication

GPU computing

Linux

Git

Cloud/HPC

Education

Master's degree or engineering school in ML/CS

Tools

PyTorch

Linux

Git

Job description

The Research Intern joins the X-ray, CT, and MRI machine learning group for a six-month end-of-studies research internship in France. The group pre-trains foundation models on large-scale radiology data using cloud and HPC infrastructure and builds vision-language models for medical images. The final research subject is agreed before the internship starts and may include open-vocabulary grounding for chest X-ray vision-language models or a cross-modality foundation model spanning X-ray and CT. This is a fixed-term internship (stage) under a French internship agreement (convention de stage) with the student's school.

Essential Duties and Responsibilities

• Learn the clinical context for assigned modalities, including how images are acquired, how pathologies appear, and how radiologists read them.
• Review relevant literature and propose approaches to test for the agreed research subject.
• Train and evaluate models on large-scale medical imaging datasets using cloud and HPC infrastructure.
• Compare results against baselines and report what worked and what did not.
• Contribute tested code to the team's ML monorepo through code review.
• Report progress weekly to the tutor and present results to the team.
• Document the work so the team can build on it, and contribute to a publication where results allow.
• Apply disciplined experimentation, including clear hypotheses, controlled comparisons, and critical reading of results.
• Collaborate with researchers and engineers on the foundation-model and vision-language roadmap as assigned.
• Follow DeepHealth data privacy, security, and research-integrity expectations when working with clinical imaging data.

PLEASE NOTE: This is not an exhaustive list of all duties, responsibilities and requirements of the position described above. Other functions may be assigned and management retains the right to add or change duties at any time.

Minimum Qualifications, Education and Experience

• Final-year Master's or engineering school (grande ecole / ecole d'ingenieurs) student in machine learning, computer science, applied mathematics, or a related field, seeking a 6-month end-of-studies internship in France (required).
• Must be eligible for a French internship (stage) under a school internship agreement (convention de stage) for the full internship period (required).
• Strong machine learning fundamentals, including probability, linear algebra, and optimization (required).
• Solid knowledge of deep learning for computer vision (required).
• Proficiency in Python and PyTorch (required).
• Hands-on experience training and debugging deep neural networks (required).Readable, tested code that others can build on (required).
• Disciplined experimentation: clear hypotheses, controlled comparisons, and critical reading of results (required).
• Ability to work autonomously within a team and communicate clearly in English (required).
• Preferred: Familiarity with self-supervised learning, vision-language, or multimodal models.
• Preferred: Experience with medical imaging (DICOM, 3D volumes, large images).
• Preferred: Experience training on GPUs, from a single GPU to multi-GPU cluster jobs.
• Preferred: Familiarity with Linux and git.
• Preferred: Familiarity with AI coding agents such as Claude Code or Codex.

Quality Standards

• Communicates, cooperates, and consistently functions professionally and harmoniously with all levels of supervision, co-workers, visitors, and vendors.
• Demonstrates initiative, personal awareness, professionalism and integrity, and exercises confidentiality in all areas of performance.
• Follows all local, regional and country laws concerning employment.
• Follows all DeepHealth policies and procedures.
• Follows data privacy, compliance, safety and confidentiality standards at all times.
• Practices universal safety precautions.
• Promotes good public relations on the phone and in person.
• Adapts and is willing to learn new tasks, methods, and systems.
• Reports to work regularly as scheduled; consistently punctual with respect to working hours, meal and rest breaks, and maintains satisfactory personal attendance in accordance with DeepHealth guidelines.
• Completes job responsibilities in a quality and timely manner.

Travel

No regular travel is expected. Occasional visits to other team sites may be possible.

Working Environment

• Office / Hybrid. Paris, Ile-de-France, France.
• On-site presence is required during the first months of the internship.
• Fixed-term internship (stage) of approximately 6 months.
• Subject to a French convention de stage with the student's educational institution.
• Working time and internship stipend (gratification) follow applicable French internship rules and DeepHealth France internship practice.
• Not a permanent employment contract (CDI/CDD).

Physical Demands

The employee must be able to perform the essential duties and responsibilities of the position, with or without reasonable accommodation.

Compensation:

1,500.00-2,500.00 EURO per month