R&D Engineer in Deep Learning for Robotic Vision F/H

L'entreprise

Le groupe Siléane, acteur majeur de la robotique adaptative en France, propose des solutions innovantes de robotique associée à la vision et à l’IA pour automatiser les process à hautes exigences technologiques et réglementaires de nombreux secteurs industriels.

Le groupe Siléane intervient auprès de ses clients sur des projets de R&D, de machine spéciale ou d’ensemblier, mais propose également une offre de machines de gammes (Flowpick, Rovaldy, Kamido) ainsi que des prestations de service.

Description du poste

Your mission:

• Work in a growing team of researchers and developers dedicated to shape the future of autonomous robotics
• Contribute to cutting-edge research projects for various industrial applications, e.g., waste sorting, defect detection, bin-picking (the research topics include but are not limited to visual scene understanding from 2D and 3D sensors, annotation-efficient learning, image generation and simulation)
• Contribute to the development of our software for deep learning-based robotic vision
• Port and test promising novel algorithms on experimental robotic setups
• Provide technical support during the deployment of new software features in production

We offer:

• Challenging projects in the fields of deep learning and robotic vision
• A multidisciplinary team of passionate and open-minded people driven by innovation
• A stimulating working environment to develop your scientific and programming skills
• A direct access to the latest hardware and technology

Profil recherché

Required:

• Master or engineering degree (Bac+5) in computer science
• 2+ years in the industry as software or research engineer
• Strong knowledge of the state of the art of computer vision and deep learning
• Hands-on experience in implementing deep learning pipelines for computer vision tasks, using state-of-the-art libraries (PyTorch, OpenCV) on GPU-enabled computers/servers
• Advanced skills in Python and C++
• Good knowledge of agile software development using Git
• Good written and oral communication skills in English
• Curious, autonomous and rigorous

Preferred:

• PhD degree in computer vision, machine learning or relevant
• Contributions to scientific publications (CVPR, ICCV, ECCV, TPAMI, IJCV, etc.)
• Experience with a simulation and rendering tool (e.g., Blender, Unity)

Réf: 9ccf67a3-57b4-4c48-977b-bcd9b7376adb