Senior Data Scientist (Computer Vision Engineer)

Razer; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

Razer in Singapore is seeking a highly skilled Computer Vision Engineer to design and develop advanced vision systems for interactive experiences. You will work across data engineers, game developers, and software engineers to build production-ready solutions enabling robust perception, real-time inference, and scalable deployment.

Applicants should have strong Python/C++, OpenCV, PyTorch or TensorFlow, and experience with multimodal models or vision-language tasks.

Qualifications

• Proven experience in developing and implementing computer vision algorithms and models in real-world applications.
• Proficiency in Python or C++.
• Strong understanding of image and video processing techniques.

Responsibilities

• Develop and implement computer vision algorithms for tasks such as object detection, tracking, action recognition, segmentation, image classification and video understanding.
• Design end-to-end computer vision systems to meet performance and scalability requirements.
• Collaborate with data engineering to design annotation schemas and data validation strategies for large-scale datasets.

Skills

Python

C++

Analytical thinking

Team communication

Education

Master’s or PhD in CS/AI

2+ years CV/multimodal AI experience

Tools

OpenCV

PyTorch

TensorFlow

ONNX

TensorRT

RabbitMQ

gRPC

REST APIs

Job description

Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work, offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally.

Job Responsibilities :

This role will focus on designing and developing advanced computer vision solutions forinteractive systems. The ideal candidate will have strong expertise in core computer vision techniques such as object detection, tracking, segmentation, image classification, and video analysis, along with experience extending these capabilities for richer semantic understanding. This role involves working closely withdataengineers, game developers, and software engineers to build scalable, production-ready vision systems that enable robust perception, automated analysis, and fast iteration in real-world environments.

Essential Duties and Responsibilities

• Develop and implement computer vision algorithms for tasks such as object detection,tracking,actionrecognition, segmentation,image classificationandvideo understanding.
• Design andcontribute toend-to-endcomputer vision systems to meetfunctional, performance, and scalability requirements.
• Collaboratewith data engineering team to design annotation schemas, labeling taxonomies, and data validation strategies for large-scale image, video, and multimodal datasets supporting computer vision and multimodal model training.
• 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, considering latency, memory, and throughput constraints.
• Work closely with software engineering teams to support the integration and deployment of computer vision and multimodal models into production systems via APIs and messaging frameworks.
• 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 through research and experimentation.
• Consider ethical, legal, and regulatory implications in the development and deployment of computer vision systems.

Pre-Requisites :

Qualifications

• Proven experience in developing and implementing computer vision algorithms and modelsinreal-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 for developing and training vision models.

• 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 visionormultimodal AI(academic or industry).Razer is proud to be an Equal Opportunity Employer. We believe that diverse teams drive better ideas, better products, and a stronger culture. We are committed to providing an inclusive, respectful, and fair workplace for every employee across all the countries we operate in. We do not discriminate on the basis of race, ethnicity, colour, nationality, ancestry, religion, age, sex, sexual orientation, gender identity or expression, disability, marital status, or any other characteristic protected under local laws. Where needed, we provide reasonable accommodations - including for disability or religious practices - to ensure every team member can perform and contribute at their best.

Are you game?