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 :

Essential Duties and Responsibilities

• Develop and implement computer vision algorithms for tasks such as object detection, recognition, tracking, segmentation, and image classification.
• Design and architect computer vision systems to meet specific requirements and objectives.
• Collect, curate, and annotate large datasets of images or videos for training and evaluation of computer vision models.
• 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.
• Integrate computer vision algorithms and models into larger software systems or products.
• 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

• Bachelor’s or master’s degree in computer science, Electrical Engineering, or a related field.
• Proven experience in developing and implementing computer vision algorithms and models.
• Proficiency in programming languages such as Python or C++.
• Strong understanding of image and video processing techniques and methodologies.
• Familiarity with computer vision libraries such as OpenCV.
• Experience with data collection, annotation, and preparation for model training.
• Ability to evaluate and optimize model performance using appropriate metrics and benchmarks.
• Experience integrating computer vision solutions into software systems or products.
• Strong problem-solving skills and attention to detail.
• Excellent communication and teamwork abilities

Are you game?

Job Requirements