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Computer Vision Intern

2 months ago

Bengaluru, India CharpstAR Full time
Are you passionate about computer vision, augmented reality, and deep learning? Join us as an intern and gain hands-on experience in a fast-growing company where you'll contribute directly to cutting-edge projects. We’re seeking a dedicated individual to assist in the development and training of a Virtual Try-On (VTO) system for wristwatches.
About Us: We are disrupting the interior shopping business by adding another dimension to the sales process through augmented reality (AR) and 3D visualization. Our fundamental drive is “seeing is believing,” and that’s exactly what we’re doing with Web AR. We’re helping clients make more informed decisions by allowing them to visualize products in real-world environments, a shift we call “smart shopping.”
As we experience significant growth, we’re expanding our team with talented individuals who have an eye for detail and the ability to thrive under deadlines. You’ll work closely with our production manager and 3D modelers, ensuring that the products we create in AR correlate fully with our client’s expectations.
Responsibilities: Collaborate with our engineering and production team to build and refine VTO models.
Assist in the development and training of machine learning models, particularly in computer vision applications.
Work with 3D visualization to ensure the accurate rendering and alignment of models in AR environments.
Optimize model performance for real-time user interactions.
Required Skills: Proficiency in Python and deep learning frameworks (e.g., TensorFlow, PyTorch).
Experience with computer vision libraries (e.g., OpenCV, Mediapipe).
Knowledge of 3D geometry, pose estimation, and object detection.
Familiarity with augmented reality development tools and frameworks.
Strong understanding of convolutional neural networks (CNNs) and model training techniques.
Experience working with datasets for image processing and custom landmark detection.
Attention to detail and ability to work collaboratively under deadlines.
Preferred Qualifications: JavaScript experience, particularly for integrating AR/VR solutions into web environments.
Prior experience in building virtual try-on (VTO) systems or related AR applications.
Familiarity with real-time inference optimization and model compression techniques.
Knowledge of wrist landmark detection and training custom models for body part tracking.
What We Offer: An opportunity to work in a dynamic, growth-driven environment.
Hands-on experience with innovative technology in augmented reality.
Mentorship from experienced professionals in computer vision and AR.
A platform to sharpen your skills and contribute to exciting real-world applications.
This is an unpaid internship that offers an excellent learning opportunity with real-world impact and exposure to cutting-edge technology. Only applicants who can work onsite should apply.