Computer Vision Intern

17 Minutes ago • All levels
Research Development

Job Description

Join our AI Software team as a Computer Vision Intern and help build intelligent systems that can perceive and understand the context in virtual environments. You will work on model training, evaluation, and optimization for image and video-based tasks.
Must Have:
  • Pursuing a Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related fields.
  • Proficient in Python, OpenCV, NumPy, and deep learning frameworks (PyTorch/TensorFlow).
  • Knowledge of machine learning fundamentals and image processing concepts.
  • Detail-oriented, analytical, and motivated to learn.
  • Ability to commit to a 6-month full-time internship from Jan 2026 - Jun 2026.
Perks:
  • Opportunity to make a global impact
  • Work across a global team located across 5 continents
  • Unique, gamer-centric #LifeAtRazer experience
  • Accelerated personal and professional growth
  • Certified as a Great Place to Work® in both United States and Singapore

Add these skills to join the top 1% applicants for this job

team-management
excel
communication
game-texts
object-detection
opencv
data-science
numpy
pytorch
deep-learning
computer-vision
python
open-cv
tensorflow
machine-learning

Job Responsibilities :

Job Description Summary

Join our AI Software team as a Computer Vision Intern and help build intelligent systems that can perceive and understand the context in virtual environments. You will work on model training, evaluation, and optimization for image and video-based tasks.

Key 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.

Learning Objectives

  • 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.

Candidate Requirements

  • 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.
  • Able to commit to a 6 months, full-time internship from Jan 2026 - Jun 2026

Pre-Requisites :

Are you game?

About Us

At Razer, you'll be at the forefront of the most exciting industry in the world — gaming. Evolving forms of gaming require evolving forms of hardware, software and services. That’s where Razer comes in, offering innovative top-of-the-line products and services to allow gamers to fully immerse in the ultimate gaming experience.

Getting onboard Razer will place you on a global mission to bring gamers closer to the games they love. Razer is a place to do great work, offering you the opportunity to be a part of a global team across 11 countries. Whether you are a hardcore evangelist who breathe life to the latest and greatest gaming gear or a behind-the-scene hero who runs our global operations, you are assured of a career-changing quest that transcends time zones and culture with one single spell: For Gamers. By Gamers.

The journey towards phenomenal-ness won’t come easy. However, we will excel because gamers rely on teamwork. We achieve greatness because we are wicked problem-solvers and tenacious in clinching victories in all that we do. It is the team that makes Razer where it is today and will continue to bring Razer to even greater heights.

Razer is proud to be certified as a Great Place to Work® in both United States and Singapore. This is a testament to our commitment to make your quest at Razer a rewarding one

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