Senior Data Scientist (Computer Vision)

Razer (Asia-Pacific) Pte. Ltd; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Razer (Asia-Pacific) Pte. Ltd is seeking a proficient computer vision developer to design and implement advanced vision algorithms for interactive systems at our Singapore office.

You will work with data engineers, game developers, and software engineers to build scalable vision solutions for real-world applications. The role requires strong Python/C++ skills, experience with OpenCV and major DL frameworks, and a track record of deploying CV models in production environments.

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.
• Hands-on experience with OpenCV and deep learning frameworks (PyTorch, TensorFlow).
• Experience defining data requirements and working with annotated datasets.
• Ability to evaluate and optimize model performance using metrics.
• Excellent written and verbal communication skills.
• Experience with Vision-Language Models (VLMs) or multimodal AI is a plus.

Responsibilities

• Develop and implement computer vision algorithms for object detection, tracking, action recognition, segmentation, image classification and video understanding.
• Design and contribute to end-to-end computer vision systems to meet performance and scalability requirements.
• Collaborate with data engineers to design annotation schemas and data validation strategies for large-scale datasets.
• Train, fine-tune, and optimize computer vision models using ML frameworks and deep learning libraries.
• Evaluate model performance using task-specific metrics and benchmarks.
• Optimize models for real-time inference, edge deployment, or large-scale serving.
• Work with software teams to deploy CV models via APIs and messaging frameworks.
• Document design specifications and requirements for CV solutions.
• Stay updated on emerging CV technologies and research.
• Consider ethical, legal, and regulatory implications.

Skills

Python

C++

OpenCV

PyTorch

TensorFlow

Multimodal AI

VLMs

Distributed systems

Education

Master’s or PhD in Computer Science, AI, ML

Tools

PyTorch

TensorFlow

OpenCV

RabbitMQ

gRPC

REST APIs

ONNX

TensorRT

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 for interactive 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 with data engineers, 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, 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 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 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 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 vision or multimodal AI (academic or industry).

Travel Requirements

Role based in Singapore office, with occasional travel (up to 1 trip per year) for conferences, research collaborations, or business meetings.

Equal Opportunity Employer

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? At Razer, you’ll be at the forefront of the most exciting industry in the world: gaming. As gaming evolves, so does the ecosystem that powers it: hardware, software and services. Guided by our mission “For Gamers. By Gamers.”, we create cutting‑edge products and experiences that define the ultimate gameplay. Staying true to our mission, we’re relentlessly pushing boundaries and leading the charge in AI for gaming, shaping the future of the industry. At Razer, you won’t just witness this evolution; you’ll help drive it. Joining Razer means being part of a global mission to bring gamers closer to the games they love. Whether you’re crafting the next generation of gaming gear or powering our global operations behind the scenes, you’ll take on meaningful work in a truly international, cross‑cultural environment. The journey toward Being Phenomenal isn’t always easy, but gamers excel through teamwork, grit, and problem‑solving. Our people are what make Razer exceptional. Together, we’ll take Razer to even greater heights. Razer is proud to be certified a Great Place to Work® in both the United States and Singapore, and recognized as a Singapore Top Employer by the Top Employer Institute, reflecting our commitment to making your journey here a rewarding one.

Equal Opportunity Employer At Razer, we believe diverse teams build better ideas and a stronger culture. We are committed to providing an inclusive, respectful, and fair workplace for every employee. 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 by the laws of the countries we operate in. We also provide reasonable accommodations where needed — including for disability or religious practices — so every team member can perform and contribute at their best.