Назад
8 часов назад

Computer Vision Intern (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
Singapore
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Computer Vision Intern (AI) (Computer Vision/Deep Learning): Building and evaluating visual recognition and scene understanding models for image- and video-based tasks with an accent on object detection, tracking, segmentation, and dataset workflows. Focus on training, benchmarking, fine-tuning, and analyzing deep learning models using Python, OpenCV, NumPy, and PyTorch/TensorFlow.

Location: Singapore Razer AI Center

Company

Razer develops gaming-focused products and intelligent software through global, cross-functional teams.

What you will do

  • Develop and evaluate visual recognition and scene understanding models for virtual environments.
  • Work on object detection, tracking, segmentation, and other image- and video-based tasks.
  • Prepare, augment, and annotate datasets for model training.
  • Benchmark and fine-tune deep learning models while analyzing experimental results with mentors.
  • Document workflows, findings, and best practices.

Requirements

  • Pursuing a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • Proficiency in Python and experience with OpenCV, NumPy, and PyTorch or TensorFlow.
  • Knowledge of machine learning fundamentals and image processing concepts.
  • Detail-oriented, analytical, and motivated to learn.
  • Availability for a minimum 16–20 week internship.

Culture & Benefits

  • Work in a research-driven AI software environment with mentoring.
  • Gain hands-on experience in computer vision model development and AI experimentation.
  • Learn about CNNs, Transformers, detection models, VLMs, dataset management, and model evaluation pipelines.
  • Collaborate with a global team located across five continents.
  • Inclusive and respectful workplace with reasonable accommodations where needed.

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