Principal Computer Vision Scientist (Gen AI)

New York, New York

Machine Learning

225000

Permanent

Our client are using advanced models to protect against both current and emerging fabrication techniques. As a leading solution for detecting and deterring fraudulent text, audio, and visual content, they partner with government agencies and enterprise clients to enhance security and prevent fraud.

Responsibilities

Lead a team specializing in computer vision.
Oversee significant portions of projects, including defining timelines, model architectures, system design, and evaluation metrics for AI solutions.
Identify and address complex issues in existing technology by collaborating with cross-functional stakeholders and leaders.
Explore new research areas for generative media detection by engaging with potential external and internal collaborators.
Contribute to research growth by sharing trends and best practices, reviewing academic papers, and participating in program committees within the computer vision community.

Skillset

PhD in Computer Science or equivalent practical experience in Computer Vision.
At least 4 years of experience managing scientific agendas across multiple teams and projects focused on AI-first products.
Minimum of 2 years of experience leading teams and influencing scientific direction.
At least 2 years of experience in cross-functional collaboration with product, engineering, and business teams.
Strong understanding of diffusion models, GANs, and visual generative AI techniques.
A proven track record of scientific publications at top-tier conferences such as CVPR, ICCV, and NeurIPS, particularly on deepfake image/video detection and classification problems.