Computer Vision Engineer Middle/Senior Remote

#vacancy #job #remote #cv #computer_vision #middle #senior #вакансия 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. --- 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. Для отклика присылайте резюме в телеграм @foreverinlovewithsummer