Computer Vision Engineer

Why Join Us?

• Proven Success: Work under investors who have spearheaded successful exits, including the sale of Looksery and AI Factory to Snap for $150M and $166M, respectively.
• Rapid Growth: Be part of a thriving company generating $3M ARR and serving 150,000 satisfied customers across the US and Europe.
• Innovative Projects: Contribute to cutting-edge AI-driven initiatives in a dynamic and fast-paced startup environment.
• Top Talent: Collaborate with experts from leading companies like Lensa, Picsart, Viber, AIRI, and Yandex.

About the Role

As a Computer Vision Engineer at Glam, you'll develop state-of-the-art AI-driven solutions to revolutionize video and image editing. Leveraging your expertise in computer vision, deep learning frameworks, and advanced techniques such as GANs and diffusion models, you will be a vital contributor to shaping the future of content creation technology. If you're a creative problem solver with a passion for AI and a knack for pushing the boundaries of what's possible, we want you on our team.

Key Responsibilities

• Develop and optimize algorithms for image and video processing, including stylization, enhancement, and content generation.
• Build and train machine learning models such as GANs, diffusion models, and other advanced AI techniques to improve visual effects and content creation tools.
• Collaborate with cross-functional teams (Product, Marketing, Engineering) to integrate CV solutions into user-facing products.
• Conduct performance analysis and refine algorithms for optimal efficiency.
• Stay abreast of the latest AI and computer vision trends to keep Glam at the forefront of innovation.

Qualifications

      Experience:

• At least 3 years of hands-on experience in computer vision and machine learning.
• Demonstrable expertise in building and deploying CV-based applications.
• Proficiency in training and implementing advanced AI models, including GANs and diffusion models.
• Experience delivering image/video processing solutions for real-time or large-scale applications.
  Technical Skills:
  • Strong programming skills in Python.
  • Hands-on experience with deep learning frameworks like TensorFlow or PyTorch.
  • Knowledge of CV libraries and tools such as OpenCV, Mediapipe, or equivalent.
  • Familiarity with cloud-based model deployment solutions.
• Additional Skills (Preferred):
  • Expertise in optimizing models for mobile applications.
  • Experience with large-scale datasets and real-time processing.
  • Telegram:@hhmmm_yan