Computer Vision Engineer

Why Join Us?

— Join a rapidly growing company with $50M ARR and 250K+ happy customers across the US and Europe.
— Work with a high-caliber engineering team from companies like Lensa, Picsart, Viber, VK, and Yandex.
— Backed by investors who successfully exited companies like Looksery and AI Factory, selling to Snap for $150M and $166M, respectively.
— Contribute to cutting-edge AI technologies in entertainment applications.

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About the Role

As a Computer Vision Engineer 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

1. Experience:
— 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.
2. 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.
3. Additional Skills (Preferred):
— Expertise in optimizing models for mobile applications.
— Experience with large-scale datasets and real-time processing.

Benefits

— Competitive salary with performance bonuses.
— All necessary equipment provided to ensure your success.

Фильтры: Middle, Senior, Релокация, Удаленная работа