(Senior) Algorithm Engineer - Computer Vision

Singapore

Applications have closed

OMNIVISION

OMNIVISION is a leading Semiconductor Manufacturer of Sensing, Analog and Touch & Display Solutions. We offer imaging solutions for the Automotive, Medical Imagining, Mobile Devices, Surveillance and Drone and laptop computer industries.

View all jobs at OMNIVISION

Find more jobs like this Jobs in Singapore

Posted 7 months ago

Description:

Be responsible to research and develop innovative computer vision/deep learning algorithms for image applications.

Responsibilities:

Research, develop and optimize computer vision/deep learning algorithms for image applications, such as, object recognition, face recognition, video analytics, image quality enhancement, and 3D reconstruction.
Explore, design and implement new algorithms/features according to marketing requirements.
Algorithm testing and verification.
Algorithm integration in system architecture.

Qualifications:

Ph.D. or MS with equivalent practical experience in Computer Science or Electrical Engineering or related disciplines such as Applied Mathematics/Statistics.
Broad knowledge in various computer vision related topics such as deep learning, object recognition (detection, classification, segmentation) and tracking, stereo, and/or 3D reconstruction; candidate with image sensor knowledge is a plus.
Strong knowledge and extensive hands-on experience of independent algorithm research; candidate with strong mathematics background is a plus.
Excellent C/C++ programming skills, proficient with scripting languages (e.g. Python or Matlab), and extensive experience with OpenCV.
Excellent verbal and written communication skills.

Find more jobs like this Jobs in Singapore

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats: 6 1 0

Categories: Computer Vision Jobs Engineering Jobs

Tags: 3D Reconstruction Architecture Classification Computer Science Computer Vision Deep Learning Engineering Mathematics Matlab OpenCV Python Research Statistics Testing