Position Overview:

As a Computer Vision Researcher, you will work with our research team to explore and develop techniques for deepfake detection. You will be specializing in generative vision techniques while integrating with our broader vision team.

Key Responsibilities:

• Develop your SOTA: Our team is a pioneer in adversarial AI research with numerous studies under our belt. We will guide your research, development, and implementation of state-of-the-art (SOTA) models and techniques.
• Research and Development: Conduct research on adversarial attack and defense techniques for generative computer vision models. Explore state-of-the-art methods and propose innovative solutions.
• Project leader: You will take a project from the ground up and lead its development.
• Generative Vision: You will help with the research and development of new generative vision pipelines, tackling various modalities and challenges.

Requirements:

• Training experience: You have trained or fine-tuned multiple vision models, from conception to production.
• Educational Background: Completed a Master's degree in Computer Science, Mathematics, or a related field, with a published paper in a respectable journal or conference.
• Technical Skills: Proficiency in Python and experience with deep learning frameworks like PyTorch, with at least 3 years of experience working with computer vision models.
• End-to-End Ownership: Directed projects from initial concept and research through deployment in large-scale production environments.
• Passion for AI: Enthusiasm for artificial intelligence, machine learning, and computer vision. A keen interest in exploring the frontiers of technology. You know the State of The Art and enjoy discussing it.

Preferred Qualifications:

• Generative experience: You have trained or fine-tuned a vision generative model, possess a deep understanding of its inner workings, and are familiar with the current challenges in their development.
• Publications: Relevant publications or contributions to the adversarial or computer vision AI community, like CVPR, ECCV, or others in the field.
• Heavy Weight: You know how to run really big models, and have experience with training and deploying them.