Senior Data Scientist - Computer Vision

About the Role

Join Razer's global mission to transform gaming experiences worldwide. As a Senior Data Scientist specializing in computer vision, you will create sophisticated vision algorithms and systems that drive interactive technologies. This position offers a dynamic environment where you collaborate with cross-functional teams across continents, promoting personal and professional growth within a gamer-focused culture.

Key Responsibilities

• Design and implement computer vision algorithms including object detection, tracking, action recognition, segmentation, image classification, and video analysis.
• Build and refine end-to-end vision systems that align with functional requirements, performance criteria, and scalability targets.
• Partner with data engineers to develop annotation frameworks, labeling taxonomies, and validation methods for large and multimodal datasets essential for training vision and multimodal models.
• Train, fine-tune, and optimize vision models using modern machine learning frameworks and deep learning tools.
• Assess model effectiveness utilizing relevant metrics and benchmarking techniques.
• Optimize models for deployment scenarios emphasizing real-time inference, memory efficiency, and throughput optimization, including edge devices.
• Work alongside software engineers to facilitate seamless integration and deployment of vision and multimodal AI models through APIs and communication protocols.
• Perform rigorous testing and validation to confirm system reliability and accuracy.
• Document technical designs, requirements, and implementation details for transparency and maintainability.
• Continuously explore emerging computer vision technologies and trends through research and experimentation.
• Address ethical, legal, and regulatory considerations throughout development and deployment phases.

Candidate Requirements

• Demonstrated experience implementing computer vision algorithms and models in practical applications.
• Proficiency in programming languages such as Python and C++.
• Solid grasp of image and video processing methodologies.
• Hands-on experience with computer vision libraries like OpenCV and deep learning frameworks such as PyTorch and TensorFlow.
• Expertise in defining data needs and managing annotated datasets for model training.
• Skills in evaluating and enhancing model performance using task-specific benchmarks.
• Strong analytical thinking and problem-solving capabilities.
• Excellent communication skills for collaboration across diverse technical and non-technical teams.

Preferred Qualifications

• Experience with Vision-Language Models, multimodal learning, or generative AI related to vision tasks.
• Familiarity with messaging technologies including RabbitMQ, gRPC, and REST APIs to support service integration.
• Exposure to distributed training workflows, large-scale experiments, or multi-GPU systems.
• Knowledge of model optimization and deployment tools such as ONNX and TensorRT, particularly for real-time or edge inference.

Education and Experience

• Master’s or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or related areas.
• At least 2 years of hands-on experience applying computer vision or multimodal AI in academic or industry settings.

Additional Information

This position is located in Singapore, with infrequent travel expected (approximately one trip annually) for attendance at conferences, research collaborations, or business engagements.

Razer champions diversity and inclusion, promoting an equitable workplace free from discrimination based on protected characteristics. Reasonable accommodations are provided to support employees’ diverse needs.