You will join the Neural Networks Compression Tools team in IOTG Computer Vision. As a Deep Learning R&D Engineer, you will be challenged to build Computer Vision (CV) based products / solutions.
You will create and implement new or use existing traditional and deep-learning CV algorithms to solve applied problems in various domains.
Your responsibilities will include, but not be limited to :
Interact with users to define requirements for CV based product / solutions.
Study current leading approaches and algorithms, analyze the latest industrial trends and research papers.
Generate novel ideas on computer vision algorithms, implement and evaluate them.
In either research environments or specific product environments, utilize current programming methodologies to translate CV algorithms into software.
Complete programming, debugging, testing, validation, documentation and / or deployment of the solution / products.
Master's degree in Math, Computer Science or Physics
Excellent knowledge of Computer Science and Mathematics
Knowledge of Machine Learning and Deep Learning algorithms
At least 3 years of software development
Good programming skills, knowledge of Python and C / C++ as well as understanding of modern programming paradigms and patterns
The following is desired :
Research background in CV or a similar Computer Science discipline
Experience in productizing algorithms and / or software optimization
Spoken and written English : upper-intermediate level or advanced