Computer Vision Intern
Content + Source + Freshness • 13 Dec 2025 • 95% confidence
Offer value
The position offers significant hands-on experience in AI and computer vision, which is vital for career growth in tech. However, it may not offer competitive compensation for highly skilled applicants.
- Opportunity to work on AI and computer vision projects
- Mentorship from experts in the field
- Global exposure to tech teams
Pros
- Hands-on experience in advanced AI techniques and computer vision.
- Exposure to global projects and diverse teams.
- Mentorship from experienced professionals in AI.
Cons
- Internship-based role may not provide full-time job security.
- Lower compensation typical of internships.
- Requires commitment for a six-month full-time duration.
Who it's for
Entry-level / Internship • On-site in Singapore
Good fit
- Students in tech disciplines
- Aspiring AI professionals
- Individuals keen to gain internship experience
Not recommended for
- Career changers without relevant tech background
- Those seeking remote work
- Candidates looking for guaranteed full-time positions
Motivation fit
Key skills
About the job
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 :
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?
