Senior Computer Vision researcher

Position Overview: As a Computer Vision Researcher, you will work with our research team to explore and develop techniques for attacking and defending vision models against adversarial threats. You will be specializing in facial recognition while integrating with our 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 the SOTA.
• Research and Development: Conduct research on adversarial attack and defense techniques for computer vision models. Explore state-of-the-art methods and propose innovative solutions.
• Collaboration: Work closely with team members, participate in brainstorming sessions, and contribute to the team's success.
• Facial recognition: You will help with the research and development of new facial recognition pipelines, tackling numerous modalities and challenges.

Requirements:

• Educational Background: Completed a Master's degree in Computer Science, mathematics, or a related field and have published a paper in a respectable journal or conference.
• Technical Skills: Python proficiency and experience with deep learning frameworks like PyTorch and have at least 3 years of experience working with computer vision models.
• Analytical Skills: Strong analytical and problem-solving skills. Ability to critically evaluate research papers and implement complex algorithms.
• 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 like to talk about it.

Preferred Qualifications:

• Experience with facial recognition: You have recently researched or worked with a computer vision model specializing in facial recognition.
• 3D ready: Not only have worked with facial recognition, but you also have experience implementing industry-ready 3D differentiable solutions.
• Publications: Any relevant publications or contributions to the adversarial or CV AI community, like CVPR, ECCV, or others in the field.
• Production Ready: You have recently developed a CV AI end-to-end product and enjoy talking about your challenges.

About Us: DeepKeep fights fire with fire - matching AI’s boundless innovation by using cutting-edge research to secure LLM, GenAI, and computer vision models. We implement a robust pen-testing platform for adversarial attacks and provide automatic, custom-fit defenses.