Remote AI Image and Video Synthesis Research Scientist

Summary

Join SpreeAI, a fast-growing AI technology company, as an Image and Video Synthesis AI Research Scientist to develop advanced AI technologies for image and video synthesis and manipulation.

Requirements

• Ph.D. degree in Computer Science, Electrical Engineering, or a related field or 8+ years of equivalent experience
• Publications in top-tier journals and conferences such as CVPR, ICCV, ECCV, ICRL, Neurips, IJCV, TPAMI
• Strong programming skills in Python and extensive experience with PyTorch
• Strong understanding of machine learning and deep learning concepts
• Experience in developing and implementing generative AI algorithms, such as GANs, diffusions, view synthesis, depth estimation, or style transfer
• Excellent problem-solving and analytical skills
• Understand, communicate, and collaborate effectively in an English speaking environment

Responsibilities

• Develop and implement advanced image and video synthesis algorithms using deep learning techniques, including generative adversarial networks (GANs), diffusion model, neural style transfer, and monocular depth estimation
• Work with large datasets to train and optimize image synthesis models to generate high-quality, realistic images
• Develop tools and frameworks to streamline the development and deployment of image synthesis models
• Collaborate with other research scientists, research engineers, and data scientists to integrate image and video synthesis models into larger systems and applications
• Troubleshoot and debug issues with photo synthesis models and systems as needed
• Stay up-to-date with the latest research in image and video synthesis and machine learning and apply it to practical problems

Preferred Qualifications

• Experience with video synthesis and manipulation
• Experience with 3D rendering and image-based rendering
• Experience with 3D human pose and shape estimation
• Experience with software engineering best practices, including version control and testing

Benefits

• Competitive salary
• Performance-based incentives
• Comprehensive health and wellness benefits
• Opportunities for professional development and growth
• Fully remote work environment