Applied Scientist Intern (Audio)

New York, New York, United States

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Not SpecifiedCompensation

InternshipExperience Level

Full TimeJob Type

UnknownVisa

Cybersecurity, Artificial Intelligence, Fraud Detection, Media TechnologyIndustries

Requirements

Candidates must be currently enrolled in a PhD program in deep learning, computer vision, speech/audio processing, or a related field. They should have a strong understanding of Multimodal LLMs and their architectures, coupled with at least 1 year of programming experience in Python and model building in PyTorch. Experience with audio models like HuBERT/wav2vec is a plus. Strong skills in exploratory data analysis techniques, such as dimensionality reduction and clustering, are necessary, along with a publication record in reputable AI research venues like CVPR or ICLR. Good communication skills and a positive attitude are also essential.

Responsibilities

The Applied Scientist Intern will investigate the composition of open-source audio deepfake datasets. They will utilize Multimodal LLMs to create rich feature representations of audio deepfake data and employ these representations to identify data trends related to bias, fairness, and classification difficulty between real and fake data. The intern will also collaborate with scientists and engineers across the organization.

Skills

Deep learning

Computer vision

Speech processing

Audio processing

Multimodal LLMs

Feature representation

Data analysis

Bias analysis

Fairness analysis

Classification

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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