# Computer Vision Engineer

**Company**: Razer
**Location**: Singapore
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://razer.wd3.myworkdayjobs.com/en-US/Careers/job/Singapore/Senior-Data-Scientist--Computer-Vision-_JR2026006985?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_49f01b29-ae5

## Description

Join Razer's global team to revolutionize gaming.

**Job Responsibilities**

Design and develop advanced computer vision solutions for interactive systems.

- Develop and implement computer vision algorithms for tasks such as object detection, tracking, action recognition, segmentation, image classification, and video understanding.

- Design and contribute to end-to-end computer vision systems to meet functional, performance, and scalability requirements.

- Collaborate with data engineering team to design annotation schemas, labeling taxonomies, and data validation strategies for large-scale image, video, and multimodal datasets.

- Train, fine-tune, and optimize computer vision models using machine learning frameworks and deep learning libraries.

- Evaluate the performance of computer vision models using appropriate metrics and benchmarks.

- Optimize models for real-time inference, edge deployment, or large-scale serving.

- Work closely with software engineering teams to support the integration and deployment of computer vision and multimodal models into production systems.

- Conduct testing and validation to ensure the functionality, reliability, and accuracy of computer vision systems.

- Document design specifications, technical requirements, and implementation details for computer vision solutions.

- Stay updated on emerging technologies, trends, and advancements in computer vision.

- Consider ethical, legal, and regulatory implications in the development and deployment of computer vision systems.

**Pre-Requisites**

- Proven experience in developing and implementing computer vision algorithms and models in real-world applications.

- Proficiency in programming languages such as Python or C++.

- Strong understanding of image and video processing techniques and methodologies.

- Hands-on experience with computer vision libraries (e.g., OpenCV) and deep learning frameworks such as PyTorch and TensorFlow.

- Experience defining data requirements and working with annotated datasets for computer vision model training.

- Ability to evaluate and optimize model performance using task-specific metrics and benchmarks.

- Strong analytical and problem-solving skills.

- Excellent written and verbal communication skills across technical and non-technical teams.

**Preferred**

- Experience with Vision-Language Models (VLMs), multimodal learning, or generative AI for vision tasks.

- Experience with messaging and communication technologies such as RabbitMQ, gRPC, REST APIs for service integration.

- Exposure to distributed training, large-scale experiments, or multi-GPU systems.

- Experience with model optimization and deployment (e.g., ONNX, TensorRT, edge or real-time inference).

**Education & Experience**

- Master’s or PhD in a relevant field (Computer Science, AI, Machine Learning, etc.).

- 2+ years of applied experience in computer vision or multimodal AI (academic or industry).

**Travel Requirements**

- Occasional travel (up to 1 trip per year) for conferences, research collaborations, or business meetings.

## Skills

### Required
- computer vision
- machine learning
- deep learning
- Python
- C++
- OpenCV
- PyTorch
- TensorFlow

### Nice to have
- Vision-Language Models
- multimodal learning
- generative AI
- RabbitMQ
- gRPC
- REST APIs
- distributed training
- model optimization

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Source: [Apply at razer.wd3.myworkdayjobs.com](https://razer.wd3.myworkdayjobs.com/en-US/Careers/job/Singapore/Senior-Data-Scientist--Computer-Vision-_JR2026006985?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)