Computer Vision Scientist – 6 months Internship


ImVitro is looking for a mission-driven Computer Vision Scientist Intern to join the Paris-based company to tackle a problem that concerns around 15% of couples worldwide: infertility. The ideal candidate is a final year computer science master student with a strong interest in AI and in the medical field, available for a 6 months intership starting as early as June.

Today, one of the main medical solutions to infertility is in vitro fertilization (IVF). And yet, its success rates only come close to 20-30% in Europe, which means patients have to repeat this difficult journey all too often, or give it up altogether. At ImVitro, we minimize the number of cycles patients have to go through by personalizing medical decisions to each patient’s journey. We apply AI to a variety of data that is routinely used by doctors to make complex and multifactorial decisions, starting with videos of developing embryos. We predict the impact of these customized decisions on success rates, thus making IVF more transparent, robust and reproducible. Our vision is to create an easier path to parenthood to ensure families can take their planning into their own hands.

ImVitro is an early stage Deep Tech start-up backed by US & European VC funds. It was founded in August 2019 and has already created strong partnerships with fertility centers. The company has been backed by several accelerator programs  (Entrepreneur First, DeepTech4Good, Wilco, Agoranov) and was selected as one of Station F’s Future 40 2019 start-ups. 

Role and responsibilities

ImVitro is looking for an computer vision scientist intern that will help us bring our AI to the next level. By joining the R&D Team, you will work closely on ambitious cutting-edge research topics in Computer Vision on video classification.

During your internship, you will study the literature and implement new architectures in PyTorch to improve the performance of our classification algorithm on videos of developing embryos. You will monitor and compare experiments, gather the results and present them regularly to the team. You will have weekly touchpoints with a computer vision scientist from the R&D team.

This is a unique opportunity to be directly exposed to a fast-paced, demanding and exciting entrepreneurial ecosystem.


Above all, the person needs to be excited about the mission of the company, and needs to be driven, curious and resilient. Here are the skills the candidate must have and nice to have:


  • Proficiency with Python
  • Experience on a deep learning framework either through a previous internship or through a personal/school project.
  • Good written and oral communication skills in english (the whole team works in English)


  • Experience on a Computer Vision subject in the medical field
  • A personal GitHub – please send us the link if you have one!


Key words: 

Python, PyTorch, Computer Vision, Docker, Git

Compensation & Perks

The employee will 

  • Have access to offices in an health-driven incubator in Paris (TechCare)
  • Be able to participate in regular company events (e.g. team lunches, drinks)
  • Benefit from flexible work arrangements (e.g part-time remote work)
  • Have the opportunity to make an impact on patients and society at large

Recruitment process

  • Send a message and linkedin profile and/or CV to
  • If pre-selected, you will be notified by email to go through a 45 min technical interview around a paper in AI+IVF that you will receive prior to the interview.
  • 20 min informal discussion with the CEO and ML team lead

ImVitro is committed to building a diverse team and to equal employment opportunity, regardless of (including but not limited to) race, gender, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership, sexual orientation, gender identity. The company has been founded by women, is currently composed of both male and female members of different nationalities and is intent on strengthening this diversity as it grows. Therefore, we strongly encourage all applications, including those of women and any underrepresented minorities.