Senior Computer Vision Scientist - Real-Time & Multimodal AI

razer; Singapore; On-site; SGD 90,000 - 140,000; Full time

Job summary

Razer in Singapore is seeking a skilled Computer Vision Engineer to design and develop advanced vision solutions for interactive systems. You will work with data engineers, game developers, and software engineers to build production-ready perception and multimodal models.

The ideal candidate has strong expertise in object detection, tracking, segmentation, and model optimization for real-time or edge deployment, with Python or C++ and OpenCV experience.

Qualifications

• Proven experience in developing computer vision algorithms for real-world apps.
• Proficiency in Python or C++.
• Strong foundation in image and video processing techniques.
• Hands-on with OpenCV and DL frameworks (PyTorch/TensorFlow).
• Experience with annotated datasets for CV model training.
• Ability to evaluate and optimize CV model performance.

Responsibilities

• Develop and implement CV algorithms for object detection, tracking, segmentation, and video understanding.
• Design end-to-end CV systems to meet performance and scalability needs.
• Collaborate with data engineers to design labeling schemas and data validation for large datasets.
• Train, fine-tune, and optimize CV models for production use.
• Evaluate CV models using relevant metrics and benchmarks.
• Work with software teams to deploy CV models via APIs and messaging systems.
• Document technical requirements and design specifications.

Skills

Python

C++

OpenCV

PyTorch

TensorFlow

Multimodal learning

Communication

Education

Master's or PhD in Computer Science / AI

Tools

RabbitMQ

gRPC

REST APIs

Job description

Razer in Singapore is seeking a skilled Computer Vision Engineer to design and develop advanced vision solutions for interactive systems. You will work with data engineers, game developers, and software engineers to build production-ready perception and multimodal models.

The ideal candidate has strong expertise in object detection, tracking, segmentation, and model optimization for real-time or edge deployment, with Python or C++ and OpenCV experience.