Computer Vision Intern

Thaba Chweu, Mpumalanga, South Africa

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Not SpecifiedCompensation

Entry Level & New GradExperience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Cybersecurity, Media DetectionIndustries

Requirements

The ideal candidate should be a PhD student in a relevant technical field with experience in computer vision and proficiency in Python and deep learning models using PyTorch. Published peer-reviewed research papers in reputable computer vision venues, such as CVPR, ICCV, or NeurIPS are preferred.

Responsibilities

The Computer Vision Intern will investigate new methods for generative image/video detection, collaborate with researchers on the team, perform research of deepfake image/video detection, write up research results for internal reports and academic submissions, and independently implement and evaluate ideas on a modern deep learning stack utilizing Python, PyTorch, and GPU-enabled cloud compute platforms like AWS or GCP.

Skills

Computer Vision

Python

PyTorch

Deep Learning

GPU Cloud Computing

Research & Academic Writing

Reality Defender

Deepfake detection for enterprises and governments

About Reality Defender

Reality Defender offers deepfake detection solutions to protect enterprises, platforms, and governments from AI-generated threats. Its detection platform scans images, videos, and audio in real time to identify fabricated content, helping to prevent misinformation. The company stands out by providing enterprise-grade services through a subscription model that allows easy integration into existing systems. The goal is to enhance fraud prevention and maintain the authenticity of digital content for clients.

New York City, New YorkHeadquarters

2018Year Founded

$46.7MTotal Funding

SERIES_ACompany Stage

Enterprise Software, Cybersecurity, AI & Machine LearningIndustries

51-200Employees

Risks

Free tools like TrueMedia's may undercut Reality Defender's subscription model.

Rapid increase in deepfakes could overwhelm current detection capabilities.

Commoditization of AI tools challenges Reality Defender to update detection algorithms.

Differentiation

Reality Defender offers real-time detection for images, videos, and audio deepfakes.

The platform is government-approved, ensuring high reliability and accuracy for clients.

Reality Defender uses a multi-model approach, enhancing detection capabilities across various media types.

Upsides

Raised $33M in Series A to expand technology and market reach.

Partnership with Respeecher enhances audio deepfake detection capabilities.

Won 'Most Innovative Startup' at RSA Conference 2024, boosting credibility.

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