Computer Vision Intern

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.

• →Develop and evaluate visual recognition and scene understanding models using techniques such as object detection, tracking, and segmentation.
• →Contribute to data preprocessing, augmentation, and annotation workflows for training datasets.
• →Assist in performance benchmarking and fine-tuning deep learning models.
• →Collaborate with mentors to analyze experimental results and improve model accuracy.
• →Document workflows, findings, and best practices.

• Gain hands-on experience in computer vision model development and AI experimentation.
• Learn about deep learning architectures for visual tasks (CNNs, Transformers, detection models, VLMs).
• Understand practical aspects of dataset management and model evaluation pipelines.
• Improve collaboration and communication skills in a research-driven engineering environment.

• Pursuing a Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related fields.
• Proficient in Python with experience in OpenCV, NumPy, and deep learning frameworks (PyTorch/TensorFlow).
• Knowledge of machine learning fundamentals and image processing concepts.
• Detail-oriented, analytical, and motivated to learn.
• Available for a minimum of 16–20 week internship.

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.