Title:Computer Vision and Machine Learning Engineer - Intern
Posted: October 14, 2016
Location: Paris, France
At Chronocam, we apply neuromorphic systems to all fields of artificial vision. We are intrigued by the secrets of the biological eyes and we are inspired by them to design and develop innovative vision systems that overthrow the established paradigm vision techniques currently used everywhere in machine vision.
The consequence of this paradigm shift are unprecedented combinations of performance figures including temporal resolution (down to microseconds), dynamic range (>140dB), sensor-level video compression (10x-1000x) and power efficiency (mW).
Our vision systems are applicable to all fields of machine vision from aerospace and defence to automotive and robotics to smart devices. Demanding vision tasks from real-time 3D mapping, complex multi-object tracking or fast visual feedback loops for sensory-motor action to always-on visual input to smart mobile devices for context awareness, can now be solved using Chronocam`s bio-inspired vision techniques in a highly efficient way.
Job Opening: Computer Vision and Machine Learning Engineer - Intern
We are looking for a passionate individual who demonstrates initiative, takes ownership for project work, and exhibits a high level of personal leadership, conviction and spirit of innovation. The ideal candidate would be a multitasking and creative software individual who had some exposure in the Computer Vision/Signal Processing/Machine Learning space. Knowledge of C++ programming is required and experience with GPU programming highly preferred.
She/He will work in a mixed team of scientists and engineers to optimize solutions to research problems. Her/His main contribution will be in creating innovative bio-inspired image processing algorithms for specific tasks across many applications aerospace&defence, automotive, biotech, robotics, industrial automation, smart devices, etc.
Application Instructions: Send your CV and cover letter to: firstname.lastname@example.org