ImVitro is looking for a computer vision scientist intern that will be helping 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. You will work on deep learning models for region detection, segmentation, registration or classification, on both 2D and 3D medical images. 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. You will also be involved in developing new MLOps functionalities and improving our codebase.

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

Missions:

• Develop and optimize deep learning algorithms for medical image analysis of embryos.

• Implement and experiment with state-of-the-art computer vision techniques.

• Contribute to our internal deep learning framework.

• Evaluate and fine-tune models to achieve high accuracy and reliability.

• Assist in the integration of algorithms into our product EMBRYOLY.

• Research latest advancements in computer vision and deep learning.

• Last-year undergraduate or graduate student pursuing a degree in Computer Science.

• Strong programming skills in Python and experience with deep learning frameworks (e.g., TensorFlow, PyTorch).

• Knowledge of computer vision fundamentals and techniques.

• Familiarity with image processing, image segmentation, and image classification.

• Excellent problem-solving and analytical skills.

• Ability to work effectively in a collaborative team environment.

• Strong communication skills and the ability to present findings and ideas clearly.

Nice-to-have:

• Proficiency in working with medical image data.

• A personal project on computer vision.

1. Technical Interview (45 Minutes):

   Following the initial screening, candidates who pass this stage will be invited to a 45-minute technical interview. During this interview, the candidate will be asked to present a paper related to AI in embryology. This presentation allows the candidate to showcase their research and presentation skills.

   Additionally, candidates can expect technical questions related to computer vision, deep learning, and their ability to apply these concepts to real-world problems in the context of medical image analysis.

2. Interview with ML Lead and VP of Engineering (30 min):

   Successful candidates from the technical interview will progress to an interview with key members of the R&D team, including the Lead Machine Learning Engineer and the VP of AI & Engineering. This interview may delve deeper into the candidate’s technical abilities, problem-solving skills, and their fit for the role within the organization.

   This stage also provides an opportunity for candidates to learn more about the company’s vision and expectations for the internship.

3. Informal Team Interview:

   The final stage of the recruitment process involves an informal interview where the candidate will have the opportunity to meet and chat with members of the ImVitro team. This interview helps to gauge cultural fit, teamwork skills, and enthusiasm for the role 😊.

   It’s also a chance for candidates to ask questions about the team dynamics, company culture, and any other aspects of the internship.