Graduate Deep Learning Research Engineer (12 Month Fixed Term Contract)

at  Valeo

Valeo is a tech global company, designing breakthrough solutions to reinvent the mobility. We are an automotive supplier partner to automakers and new mobility actors worldwide. Our vision? Invent a greener and more secured mobility, thanks to solutions focusing on intuitive driving and reducing CO2 emissions. We are leader on our businesses, and recognized as one of the largest global innovative companies.
Headquartered in Tuam, Co. Galway, Valeo Vision Systems is the world leader in providing advanced driver-assistance and automated parking systems. The Computer Vision Department is responsible for developing custom-built state-of-the-art algorithms intrinsically designed to leverage the full power of today’s most advanced multi-core automotive embedded platforms. Computer vision functions including 3D object detection, pedestrian and vehicle classification, trajectory mapping, online calibration, lens soiling detection, collision mitigation, lane and park-slot detection, and much more feed into a detailed map of the vehicle’s environment via advanced sensor fusion. The department apply state of the art computer vision techniques to the automotive domain; object detection, classification, structure-from-motion, localisation & mapping, and machine & deep learning. The team specialize in redefining state-of-the-art computer vision and delivering next-generation advanced driver-assistance and automated driving systems for leading European, American and Asian OEMs.

REQUIREMENTS:

• BSc degree, or MSc degree, or PhD in any area with a focus on deep learning.
• Understanding of fundamental computer vision algorithms and approaches, with a focus on machine learning.
• Excellent English language communication skills, both written and verbal.
• High level of innovation and motivation.
• Academic publications in relevant field is desirable.
• Understanding of data structures, data modeling and software architecture.
• Proficiency with Python machine learning frameworks (Keras or PyTorch) and libraries (li scikit-learn).
• Proficiency with OpenC.
• Familiarity with Linux.
• Excellent communication skills.
• Ability to work in a team.
• Outstanding analytical and problem-solving skills.
• Experience developing software for embedded platforms.
• Experience with version control software.
• Experience with imaging or optics systems.

• Deep Learning network development and training.
• Select appropriate datasets and data representation methods.
• Work with data engineers and analysts to ensure optimal data acquisition, data integrity and data pipelines.
• Perform statistical analysis and fine-tuning using test results.
• Develop and maintain a relationship with university counterparts.