We are opening a Deep Learning Engineer position to scale our GDPR-compliant clothing reidentification in the 25 malls across Europe and the one coming in the US and Middle East. We are seeking candidates with advanced analytics skills and an academic background in a field linked to applied mathematics, statistics, machine learning, or other related fields. Your missions:

• Improve our detection and re-identification models by contributing to enhancing data collection, neural network architectures and training paradigms, pre- and post-processing, performance evaluation

• Provide a bibliography on any relevant computer vision project and implement prototypes based on promising papers

• Facilitate the deployment of R&D prototypes by closely collaborating with the Embedded team

• Improve our image annotation and visualization tool

Qualifications

• Master’s in deep learning, computer vision, machine learning, or equivalent experience (or PhD)

• 2 years of experience with machine learning algorithms and tools (we count PhD as working experience)

Skills

• Excellent knowledge in deep learning fields, in particular computer vision ones, such as object detection, segmentation, image classification.

• Hands-on experience with popular deep learning frameworks (e.g. Pytorch, TensorFlow)

• Strong experience with data science and image processing Python libraries (OpenCV, PIL, SciPy, Scikit-Learn, Pandas)

• Practical understanding of the mathematics behind modern machine learning, linear algebra, and statistics

• Ability to write high-quality Python code and review code developed by team members

Values

• Team-player willing to build a leading company

• Reliable, gets things done

• Ambitious

• Phone call with CTO

• Technical test

• Lunch with R&D team