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

Lead 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 lead 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 lead one or several projects that aim to develop or improve a specific algorithm.

MAIN AREAS OF ACCOUNTABILITY / PÉRIMÈTRE DE RESPONSABILITÉS

Leading the technical part of an algorithm development in a squad of 2 or 3 data scientists: technical choices, technical meeting animation, technical roadmap, etc
Working closely with the product manager so that technical choices and roadmap are aligned with the product goals and client needs
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  
- Participating in the scaling and recruitment process of the AI production team

INFLUENCE ON RESULTS / DIMENSIONS CARACTÉRISTIQUES

Must-haves:
3-5 years of experience in data science (most of it in deep learning)
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, including clean code best practices (code modularity, unit testing, documentation …)
Proven experience in delivery as technical leader in complex projects using agile development methods
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 VisionProficiency with Docker and TensorFlow/Keras
Experience working in a startup environmentExperience in packaging and delivering models into production