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R&D - AI S-Cube
Junior Deep Learning Scientist
Paris/Full-time

Junior Deep Learning Scientist

Paris/Full-time
JOB TARGET / RAISON D'ÊTRE  
                                                                              
You will join the AI Product team that works on Preligens imagery product, as a junior deep learning scientist. The team’s main mission is to provide and guarantee operational object detection and classification performances for the product. To that end, you will participate in one or several projects that aim to develop or improve a specific algorithm.

MAIN AREAS OF ACCOUNTABILITY / PÉRIMÈTRE DE RESPONSABILITÉS

Actively contribute to the technical part of an algorithm development in a squad of 2 or 3 data scientists
Work closely with the AI research team, to apply their state-of-the-art innovations in order to push forward the performance of our algorithms in production

Work closely with the AI Engineering team, to integrate new features and improve our internal AI framework 

You will report to the AI imagery product team manager

MAIN ACTIVITIES / ACTIVITÉS PRINCIPALES

Developing, training and testing deep learning algorithms using our internal AI framework. Trying to adapt the latest innovations developed by our AI Research team into production, and testing new state-of-the-art methods from scratch based on recent articles
Coming up with new creative and innovative ideas to push forward the performance of our algorithms
Contributing to our AI framework, maintained by our AI Engineering team

INFLUENCE ON RESULTS / DIMENSIONS CARACTÉRISTIQUES

Must-haves:
- At least 6 months of experience in deep learning / Machine Learning (internships, online courses, personal side projects, etc.)
- Education in the field of data science / deep learning / computer vision (Master’s degree, or PHD)
- Very good understanding of DL techniques, especially CNNs for Segmentation and Object Detection
- Good Python programming skills
- Excellent organizational skills, autonomy, and reporting capabilities
- Rigorous, creative and meticulous mindWillingness to take on challenges, show resiliency and like to always learn new skills

Nice-to-haves:
- Strong knowledge in Computer Vision
- Proficiency with Docker and Tensor
- Flow/Keras
- Experience working in a startup environment
- Experience in packaging and delivering models into production