Research/AI Engineering 2

Purpose

The Road Safety AI team is seeking a motivated candidate, with a solid background in Software Development and AI for Computer Vision, to work on the development and improvement of algorithms to efficiently address Road Safety business or customer needs.

Our studies cover all aspects of scientific research, from exploration of the State of The Art (SOTA), data collection cleaning and annotation, algorithms design and implementation, to the publication of research papers or patents. Not just that, our algorithms are deployed in IDEMIA road safety equipment used to detect traffic law violations and contribute to making Vision Zero reality.

Some of the studies we work on: vehicle segmentation and tracking, monocular 3D vision, phone usage and seatbelt violations’ detection, etc.

Key Missions

• Designs, implements, improves and optimizes statistically robust, efficient, secure and scalable algorithms while respecting platforms’ constraints
• Develops test strategies and methodologies to evaluate new or competing algorithms
• Presents algorithms and results for internal community challenges
• Stays up to date on latest state-of-the-art research and algorithm development methodologies
• Provides support to solution design, implementation, customization and operations
• Closes proactively the loop with operational data/logs to ensure the algorithms are fully effective in operations
• Coaches less experienced researchers (depending on seniority)

Profile & Other Information

Education: Engineering School or a Master's (M2) graduate who checks the following requirements (technical and soft skills). PhD in Computer Vision or AI is a plus.

Required technical skills:

• Strong knowledge of Deep Learning and Computer Vision.
  • At least three [personal or professional] projects/experiences in the field of Computer Vision or NLP.
  • Experience in Object Detection and Tracking is a plus.
• Proficiency in Python and PyTorch.
• Solid training in data analysis and software development.

Soft Skills & Languages:

• Proficient in English (e.g. reading scientific articles, presenting work)
• Proficient in French
• Curious, proactive, and autonomous
• Results-oriented

Seniority level: A first experience (1-5 years) in a similar position is a plus.