Join our R&D team as an intern and gain hands-on experience in developing and deploying Computer Vision solutions. You will work on various topics such as person gender and age classification, and robust, privacy-preserving reidentification. This is a great opportunity for a Masters level engineering student with a background in Statistics and Deep Learning.
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Participate in brainstorming sessions and contribute to problem-solving and analytical discussions.
Assist in the development and deployment of Computer Vision solutions, focusing on person gender and age classification, and robust reidentification.
Gain hands-on experience in coding using Python and working with Deep Learning frameworks, particularly PyTorch.
We are looking for a Masters level engineering student with a background in Statistics and Deep Learning to join our R&D team as an intern. We are working on various Computer Vision topics such as person gender and age classification, and robust, privacy-preserving reidentification. As an R&D intern, you will contribute to solving challenging real-world problems and gain hands-on experience in developing and facilitating the deployment of Computer Vision solutions.
As a member of our team, you will take part in brainstorming sessions, which requires:
Problem-solving and analytical skills,
Good communication skills,
Teamwork.
Qualifications:
Academic background in Deep Learning, Machine Learning, Computer Vision, or a related field.
Proficient in coding using Python, with expertise in Deep Learning frameworks (PyTorch in particular), and data processing libraries such as OpenCV, Scikit-Learn and Pandas.
Comfortable working in English, when necessary (understanding papers, presentations and writing documentation).
What we can offer:
Valuable experience in a fast-paced, innovative startup environment working on bleeding-edge R&D challenges in Computer Vision.
A dynamic, ambitious, talented, international team.
2 remote work days (Monday and Friday) per week
💻 Remote interview with an R&D team member to learn more about you, your skills and your motivations.
📝 Technical test to evaluate your problem solving, analytical, and communication skills.
💻 Remote interview to discuss your solution for the technical test.
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