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.