217 Computer Vision jobs in Singapore

Artificial Intelligence Vision Expert

We seek a highly skilled Artificial Intelligence Vision Expert to join our team. The ideal candidate will possess in-depth knowledge of deep learning techniques, computer vision algorithms, and software development.

The successful candidate will be responsible for developing, training, and optimizing deep learning models for object detection, classification, and segmentation using real-world datasets.

They will also design and implement software modules to integrate the models into a working system prototype.

Rapsodo is a sports technology and analytics company with headquarters in Singapore, and offices in the USA, Turkey and Japan. Using Computer Vision and Machine Learning, Rapsodo develops sports analytics products that are data-driven and portable to empower athletes at all skill levels to analyse and improve their performance.

From Major League Baseball star pitchers to Golf tour players, athletes use Rapsodo technology to up their game across the world. Trusted by coaches and players from youths to professionals, Rapsodo provides real-time insights for all-time performance.

Powered by Athletes who get it, and Engineers who can do it.

Join Team Rapsodo in defying limits and unlocking limitless potential, one data point and one heart-felt success story at a time.

The Role:

Our algorithm team designs, develops and implements state of the art computer vision solutions to address needs of complex Rapsodo products. As a Computer Vision Engineer, you will be part of a world-class, skilled engineering team developing state of the art measurement solutions which help athletes reach their full potential. This role requires a highly versatile skill set and you will have opportunities to contribute in all relevant domains. Your responsibilities will include development of new products and enhancing existing products.

Requirements

Skills & Requirements:

• Masters or PhD in Computer Science or related fields with specialization in Computer Vision, and Image Processing
• 3- 5 years of relevant working experience
• Strong knowledge and hands-on experience in 3D Vision, Camera Calibration, Image Classification, Segmentation and Feature Extraction
• Strong knowledge in Linear Algebra, Numerical Optimization, Probability and Statistics
• Hands-on experience with OpenCV
• Excellent C/C++ programming skills with some Python experience
• Experience with software architecture and/or API design, complemented by robust integration skills

• Design and implement vision algorithms for automated inspection, feature detection, and pattern recognition in semiconductor backend processes.
• Develop and deploy deep learning-based models to enable high-speed, high-accuracy vision systems.
• Integrate vision software with robotics, automation platforms, and precision equipment such as die bonders and wire bonders.
• Apply advanced image processing techniques for tasks including object tracking, defect classification, and yield improvement.
• Collaborate with hardware, software, and process engineering teams to ensure seamless real-time integration across inspection systems.
• Analyze performance data, validate models, and fine-tune algorithms to meet production standards and operational requirements.
• Optimize system performance in terms of detection accuracy, processing speed, and operational reliability.
• Contribute to the continuous enhancement of vision frameworks to support scalability, robustness, and deployment readiness.

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, or a related field.
• Solid experience in computer vision, image analysis, and applied machine learning.
• Proficiency in Python and C++, along with libraries such as OpenCV and frameworks like TensorFlow or PyTorch.
• Familiarity with building and optimizing vision algorithms for high-throughput or precision manufacturing applications.

• Experience with deep learning architectures such as CNNs, GANs, or Transformer-based models applied to vision tasks.
• Exposure to semiconductor automation systems or optical inspection tools.
• Knowledge of real-time processing techniques and hardware acceleration technologies (e.g., CUDA, FPGA).
• Strong problem-solving mindset and the ability to communicate technical concepts clearly across teams.

• Masters or PhD in Computer Science or related fields with specialization in Computer Vision, and Image Processing
• Minimum 2-5 years of relevant working experience
• Strong knowledge and hands-on experience in 3D Vision, Camera Calibration, Image Classification, Segmentation and Feature Extraction
• Strong knowledge in Linear Algebra, Numerical Optimization, Probability and Statistics
• Hands-on experience with OpenCV
• Excellent C/C++ programming skills with some Python experience
• Experience with software architecture and/or API design, complemented by robust integration skills
• The ability to communicate technical information clearly and succinctly to both technical and non-technical team members

We are seeking a highly skilled and experienced researcher to join our team in the field of Computer Vision. The successful candidate will be responsible for designing and conducting research projects focused on developing and fine-tuning advanced AI models to analyze complex visual data from various sources.

The ideal candidate will have a strong background in computer science, with specific expertise in computer vision and artificial intelligence. They should also have proven experience in high-level research, including publications in top-tier journals and conferences.

We are looking for a team player who can work collaboratively with our researchers to advance our understanding of computer vision and its applications.

• Job Requirements:
• A PhD in Computer Science or a related field
• Expertise in computer vision and artificial intelligence
• Proven experience in high-level research
• Familiarity with self-supervised and unsupervised learning techniques
• Good teamwork and collaboration skills

We regret that only shortlisted candidates will be notified.

Our team is seeking a skilled Computer Vision Developer to join our world-class engineering team. The ideal candidate will have a Master's or PhD in Computer Science or a related field with specialization in Computer Vision and Image Processing.

• Develop state-of-the-art measurement solutions using advanced computer vision techniques
• Contribute to the development of new products while enhancing existing ones

• Master's or PhD in Computer Science or related fields with specialization in Computer Vision and Image Processing
• Minimum 2-5 years of relevant working experience
• Strong knowledge and hands-on experience in 3D Vision, Camera Calibration, Image Classification, Segmentation, and Feature Extraction
• Excellent C/C++ programming skills with some Python experience
• Hands-on experience with OpenCV
• Experience with software architecture and/or API design, complemented by robust integration skills

As a member of our team, you will have opportunities to work on challenging projects, collaborate with experienced professionals, and develop your skills in a fast-paced environment.

We offer a competitive compensation package and a collaborative work environment that fosters innovation and growth.

• Design and implement advanced computer vision algorithms for 3D reconstruction, image processing, object detection, recognition, tracking, and scene understanding to enhance the capabilities of our robotic systems.
• Develop robust software solutions that integrate computer vision algorithms into our robotic platforms, ensuring high performance and reliability.
• Collaborate with other engineers and researchers to prototype new concepts and bring innovative technologies from conception to deployment in real-world applications.
• Continuously research and stay updated on the latest advancements in computer vision and machine learning technologies to inform development strategies.
• Optimize existing computer vision algorithms for efficiency, including improving accuracy, reducing computational resources, and achieving real-time performance.
• Conduct rigorous testing and validation of computer vision components to ensure system performance and reliability under diverse and challenging conditions.
• Document software designs, implementation details, and testing protocols to facilitate knowledge sharing and ensure reproducibility.

• A Master's or Ph.D. degree in Computer Science, Electrical Engineering, Robotics, or a related field, with more than 2 years of industrial experience focusing on computer vision and robotics.
• Solid foundation in computer vision, image processing (e.g. edge detection, denoising), multiple view geometry, depth estimation, machine learning techniques with proven experience developing and deploying algorithms in real-world applications. Please note that knowledge in deep learning is required but not sufficient.
• Expertise in camera calibration, like camera intrinsic calibration, camera-to-camera calibration and robot-to-camera calibration with proven experience on developing and deploying calibration algorithms.
• Expertise in programming languages such as C++, Python and CUDA, and familiarity with computer vision libraries (e.g., OpenCV, PCL) and machine learning frameworks (e.g., TensorFlow, PyTorch).
• Expertise in calibration and 3D reconstruction (nerf and gaussian).
• Experience with point cloud processing is highly desirable.
• Ability to work effectively in a collaborative team environment and communicate complex technical concepts clearly and concisely.
• Creative problem-solving skills and a passion for innovation in robotics and computer vision technologies.

We are seeking a talented Research Scientist to join our team and contribute to cutting-edge research projects focused on Computer Vision.

• Key Responsibilities:
• Designing and conducting research projects in Computer Vision.
• Developing and fine-tuning advanced AI models for complex visual data analysis.
• Utilizing Large Language Models and deep learning techniques to enhance image and video analysis capabilities.

Requirements:

• A PhD in Computer Science or a related field with expertise in computer vision and artificial intelligence.
• Proven experience in high-level research, including publications in top-tier journals and conferences.
• Familiarity with self-supervised and unsupervised learning techniques and their applications in solving complex visual recognition tasks.
• Good teamwork and collaboration skills.

About the Position:

This is an exciting opportunity for a motivated Research Scientist to work on innovative projects and collaborate with a talented team. If you are passionate about advancing the field of Computer Vision, we encourage you to apply.