Algorithm Engineer (CV) Intern

OMNIVISION; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

OMNIVISION in Singapore seeks a researcher to develop innovative computer vision and deep learning algorithms for image applications. You will research, develop and optimize CV/DL algorithms for object and face recognition, video analytics, image quality enhancement and 3D reconstruction, and integrate them into system architecture.

Candidates should hold a B.Sc in Computer Science or Electrical Engineering and have excellent C/C++ skills, OpenCV experience, and Python or Matlab proficiency.

Qualifications

• B.Sc with equivalent practical experience in computer science or electrical engineering.
• Knowledge of deep learning, object recognition (detection/classification/segmentation) and tracking.
• Excellent C/C++ programming skills and experience with OpenCV, Python or Matlab.
• Strong communication skills.

Responsibilities

• Research, develop and optimize CV/DL algorithms for image applications.
• Explore, design and implement new algorithms/features per marketing requirements.
• Algorithm testing and verification.
• Algorithm integration in system architecture.

Skills

C++ programming

Python scripting

Matlab scripting

OpenCV

Deep learning basics

Object recognition

3D reconstruction

Image/video processing

Education

B.Sc in CS or EE

Job description

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

• At least B.Sc with equivalent practical experience in Computer Science or Electrical Engineering or related disciplines such as Applied Mathematics/Statistics.
• 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.
• Excellent C/C++ programming skills, proficient with scripting languages (e.g. Python or Matlab), and experience with OpenCV.
• Excellent verbal and written communication skills.