Gaming Computer Vision Intern: Train & Optimize Models

Razer

Singapore

On-site

SGD 17,000 - 22,000

Full time

14 days+
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Job summary

Razer in Singapore invites you to join our AI Software team as a Computer Vision Intern to build intelligent systems that perceive and understand visuals in virtual environments. You will train and optimize models, collaborate with mentors, and gain hands-on experience in CNNs, transformers, and dataset management while contributing to real projects in a research-driven setting.

You will gain exposure to practical aspects of model evaluation, data handling, and software development workflows in

Qualifications

  • 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.

Responsibilities

  • 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.

Skills

Python
OpenCV
NumPy
Deep learning basics

Education

Bachelor’s or Master’s degree in Computer Science / AI / Data Science

Tools

PyTorch
TensorFlow
OpenCV
NumPy

Job description

Razer in Singapore invites you to join our AI Software team as a Computer Vision Intern to build intelligent systems that perceive and understand visuals in virtual environments. You will train and optimize models, collaborate with mentors, and gain hands-on experience in CNNs, transformers, and dataset management while contributing to real projects in a research-driven setting.

You will gain exposure to practical aspects of model evaluation, data handling, and software development workflows in

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