(Sr.) Algorithm Engineer - Computer Vision

OMNIVISION TECHNOLOGIES SINGAPORE PTE. LTD.; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

A leading tech company in Singapore is seeking a skilled professional to research and develop innovative computer vision and deep learning algorithms for various image applications. Candidates should hold a Ph.D. or MS in relevant fields and possess excellent programming skills, particularly in C/C++. The role involves optimizing algorithms for object recognition and video analytics, with a focus on hands-on experience and strong mathematics background.

Qualifications

• Ph.D. or MS with equivalent practical experience in relevant disciplines.
• Broad knowledge in computer vision topics and deep learning.
• Strong mathematics and extensive hands-on algorithm research experience.
• Excellent C/C++ programming skills and experience with OpenCV.
• Excellent communication skills.

Responsibilities

• Research and develop innovative computer vision algorithms for image applications.
• Optimize algorithms for object recognition, face recognition, and video analytics.
• Implement new algorithms/features based on requirements.
• Test and verify algorithms.
• Integrate algorithms into system architecture.

Skills

Computer vision

Deep learning

C/C++ programming

Python

Matlab

OpenCV

Education

Ph.D. or MS in Computer Science, Electrical Engineering, Applied Mathematics, or related fields

Job description

Position Overview

• 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.

Requirements

• 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.