Computer Vision Researcher

Do you want to join a dynamic and fast-growing team dedicated to revolutionizing image and video enhancement through generative AI software?

Trusted by over 1 million photographers and designers, including top-tier teams at Apple, Netflix, and NASA, our technology has processed over 1 billion images and continues to set new industry standards.

We are seeking a Generative AI Researcher (Computer Vision) to drive exceptional performance and efficiency in image and video enhancement and editing. Your main focus will be on developing GAN and diffusion-based generative AI technologies. Expertise in model distillation, quantization, and pruning to enhance inference and memory efficiency while maintaining high performance is highly desirable.

About Us:

• Rapid growth and significant impact opportunities (from $3M to $45M in revenue in five years)
• Over 1 million customers, including leaders like Apple, NASA, and Netflix
• Featured in Fast Company, The Verge, Engadget, Mashable, BBC, Fox News, CNet, and more
• A world-class team committed to swift execution, customer experience, and internal promotion
• Strong product-market fit, profitable with limitless growth potential

About You:

• Ph.D. in a related field or equivalent industry experience (Computer Science, Computer Engineering, Artificial Intelligence, etc.)
• Extensive research experience with GAN or diffusion models for image/video enhancement, processing, or editing
• Proficiency in model distillation, quantization, and pruning techniques
• 2 years of hands-on experience with PyTorch and expert-level Python skills
• Working knowledge of C/C
• Up-to-date with recent relevant research papers
• Preferred: Experience with traditional image/video processing and an interest in photography

As part of our small but highly impactful team, you will have significant autonomy and visibility, working closely with other top researchers to exchange ideas and solve complex problems together. If you're ready to make a substantial impact in the field of generative AI, apply now to join our innovative and high-performance culture.

Keywords: Generative AI, Image Enhancement, Video Enhancement, Video Reconstruction, Image Reconstruction, GAN, Generative Adversarial Networks, Diffusion Models, Knowledge Distillation, Quantization, Pruning, Sparsity, Inference, Image Processing, Video Editing, PyTorch, Python, C/C , Research