84 Computer Vision jobs in Malaysia

We are looking for an innovative and highly skilled Computer Vision Engineer with expertise in developing image quality algorithms for mobile platforms. The ideal candidate will have a deep understanding of image processing, computer vision, and AI-based enhancement techniques, with proven experience in creating and optimizing algorithms such as HDR, denoising, and deblurring for smartphone photography.

This role offers the opportunity to work at the intersection of cutting-edge research and real-world application, designing solutions that enhance image quality while balancing performance and efficiency on mobile devices.

Key Responsibilities

• Research, design, and develop advanced algorithms for HDR, denoising, and deblurring to optimize image dynamic range, tonal accuracy, and fine detail reproduction.
• Develop efficient traditional algorithms tailored to mobile platform constraints, optimizing for computational speed, memory usage, and battery consumption.
• Integrate algorithms into ISP (Image Signal Processing) pipelines to enhance smartphone photography under diverse lighting and motion conditions.
• Solve real-world imaging challenges, including noise suppression, motion artifacts, and color consistency across scenes.
• Collaborate with hardware and software teams from algorithm prototyping to full product deployment, ensuring smooth integration and maximum efficiency.
• Combine traditional image processing methods with AI-based models to address complex, real-world imaging problems.

Qualifications

• Education: Master’s degree or higher in Computer Vision, Image Processing, Deep Learning, or a related field.
• Solid understanding of YUV and RAW image formats, common image processing algorithms, and ISP pipelines.
• Proficiency in C/C++ and Python programming.
• Experience with deep learning algorithms and frameworks such as PyTorch or TensorFlow (TensorFlow Lite experience is a plus).
• Familiarity with image processing libraries such as OpenCV, Pillow (PIL), and scikit-image.
• Strong problem-solving, analytical, and communication skills; ability to work effectively in cross-functional teams.
• Preferred: Research or practical experience with generative AI techniques (e.g., Stable Diffusion, GANs, ControlNet, LoRA) for image quality enhancement.

Technical Skills

• Programming Languages: C/C++, Python
• Deep Learning Frameworks: PyTorch, TensorFlow, TensorFlow Lite
• Image Processing Libraries: OpenCV, Pillow (PIL), scikit-image
• Tools & Platforms: Git, GitHub/GitLab, Docker

Why Join Us?

You will be working on industry-leading mobile imaging solutions, collaborating with talented engineers and researchers, and pushing the boundaries of what’s possible in smartphone photography. Your work will directly shape the image quality experienced by our users across diverse markets.

Rapsodo is a global Sports Technology company with offices in the USA, Singapore, Turkey, and Japan. We develop cutting-edge sports analytics products that are data-driven, portable, and easy to use, empowering athletes at all levels to analyze and improve their performance. From Major League Baseball pitchers to professional Golf tour players, athletes around the world rely on Rapsodo technology to refine their game.

Job Description

Our algorithm team designs and implements state-of-the-art computer vision and deep learning solutions for Rapsodo’s advanced sports analytics products. As a Senior Computer Vision Engineer , you will develop cutting-edge 3D vision, image processing, and AI-driven measurement solutions that help athletes reach their full potential.

This role requires a strong foundation in computer vision, deep learning, and embedded AI , with opportunities to contribute to both new product development and optimization of existing models for edge computing.

Key Responsibilities

• Develop Advanced Vision Algorithms – Design, implement, and optimize 3D vision, image classification, segmentation, and feature extraction algorithms.
• Neural Network Development – Architect and train CNNs and custom deep learning models using PyTorch, TensorFlow, or ONNX for real-time applications.
• Embedded AI & Edge Optimization – Optimize and port vision models to embedded platforms (ARM, GPU, TPU, or custom accelerators) for high-performance, low-latency inference.
• Camera Calibration & 3D Vision – Develop and enhance multi-camera calibration, stereo vision, and 3D reconstruction techniques.
• Software Architecture & API Design – Design scalable computer vision pipelines and APIs for seamless integration with Rapsodo’s product ecosystem.
• Performance Optimization – Apply quantization, pruning, and model compression techniques to enhance real-time inference efficiency on resource-constrained
• Education – Master’s or Ph.D. in Computer Science, AI, Robotics, or a related field, specializing in Computer Vision & Image Processing.
• Experience – 6-8+ years of hands-on experience in computer vision, deep learning, and real-time image processing.

Technical Expertise:

• 3D Vision & Camera Calibration – Strong foundation in multi-camera setups, stereo vision, and geometric transformations.
• Deep Learning & Vision Models – Expertise in CNNs, object detection, pose estimation, segmentation, and feature extraction.
• AI Frameworks & Optimization – Hands-on experience with PyTorch, TensorFlow, OpenCV, and model compression techniques (quantization, pruning, distillation, etc.).
• Embedded Deployment – Experience optimizing and deploying deep learning models on ARM, GPU, TPU, or custom edge AI hardware.
• Programming & Software Development – Strong proficiency in C/C++ with some Python, and experience in software architecture and API design.
• Problem-Solving & Communication – Strong analytical skills and ability to collaborate across teams, explaining technical concepts to diverse stakeholders.

Why Join Us?

• At Rapsodo, you will work on high-impact, real-time AI-driven vision systems that push the boundaries of sports analytics. Join a fast-growing, innovation-driven team to shape the future of sports technology.
• Apply now and be part of our cutting-edge vision engineering team!

About Cynapse

Cynapse is a leading AI software company specializing in enterprise-grade Video Intelligence Solutions Powered by Generative AI, tailored to meet the unique challenges of various industries. Our vertical-specific solutions empower organizations to enhance safety, operational efficiency, and security in complex environments such as roads, seaports, airports, and cities. By combining advanced Vision AI with Generative AI, we continually push the boundaries of video analytics, delivering insights and automation that transform operations.

Led by a global team with a proven track record of scaling startups into market leaders, we foster innovation, collaboration, and diverse perspectives. Headquartered from US, Cynapse serves clients worldwide, redefining what's possible with video intelligence.

Job Description

We are seeking a talented and highly motivated AI Software Engineer (Computer Vision) to join our AI Product group that delivers challenging, enterprise-scale Video Content Analytics solutions to global customers.

You will conform to high standards of design and coding, working in a cutting-edge, dynamic and professionally challenging environment.

Responsibilities:

• Develop advanced video/image analytics technologies using both Computer Vision Algorithms and advanced ML/DNN
• Research technologies and concepts in the areas of Machine Learning, Computer Vision and Edge AI
• Participate in system design activities, prototyping and testing
• Follow and contribute to software development best practices

Minimum Qualifications:

• At least a Bachelor’s Degree in Data Science, Computer Science, Engineering or similar
• Some experience in developing Computer Vision applications, i.e. object detection & classification, object segmentation, computer vision algorithms, ML models optimization, etc.
• Some Experience with ML/DNN in at least one of the following frameworks: Tensorflow, Caffé, Keras, PyTorch
• Experience with C++ would be highly appreciated

Personal Competencies:

• Innovative, motivated and a quick learner
• Ability to work well in a small team and take end-to-end ownership of problems and their resolution
• Attention to detail, curiosity, and passion for technology

Benefits:

• Competitive base salary and a generous stock option package
• Unique opportunity to work with a talented global team on cutting edge technologies
• Exciting work environment with flexible hours

Note : Due to the nature of the role, the position is considered for candidates that are only based in Singapore

We are seeking a highly motivated postgraduate student (Master’s or PhD) to conduct advanced research in image processing and computer vision. The successful candidate will develop, implement, and optimize algorithms for visual data analysis, with applications in domains such as machine vision, remote sensing, biomedical imaging, robotics, and AI-driven visual recognition.

Responsibilities

• Conduct original research in image processing, computer vision, and pattern recognition.
• Design and implement algorithms for tasks such as image enhancement, segmentation, object detection, classification, and tracking.
• Develop and test machine learning and deep learning models (e.g., CNNs, Vision Transformers) for visual analysis tasks.
• Analyze large-scale datasets, perform preprocessing, augmentation, and annotation as required.
• Publish findings in high-impact journals and present work at conferences.
• Collaborate with interdisciplinary teams, including engineers, data scientists, and domain experts.
• Prepare technical documentation, reports, and software prototypes.

Qualifications

• Bachelor’s degree in Computer Science, Mechatronics, Electrical/Electronic Engineering, Artificial Intelligence, Applied Mathematics, or related field.
• Strong programming skills in Python, MATLAB, or C++.
• Ability to work independently and as part of a research team.
• Opportunities to work on cutting-edge research projects with real-world applications.
• Conference travel support and publication funding.
• Potential industry collaboration and internship opportunities.

Application Process

Interested candidates should submit the following to my email (shahrizan(at)umpsa.edu.my):

• Academic transcripts
• Statement of research interest and motivation (1–2 pages)
• Samples of publications or code (if available)

• Internship

• Full-time

• Higher Education