Applied Scientist Intern (Audio) - Remote

Overview

As an Applied Scientist Intern at Reality Defender, you will explore and conceptualize novel methods for deepfake detection and audio understanding tasks, contributing to the advancement of AI-generated media detection solutions.

In Short

• Explore methods for deepfake detection using various modalities.
• Conduct research to improve audio deepfake detection.
• Build models with generalizability to unseen generative methods.
• Collaborate with scientists and engineers.
• Summarize and present research findings.
• Currently enrolled in a PhD program in relevant fields.
• 2+ years of experience with large models, especially audio models.
• Experience with end-to-end ML model building.
• Familiarity with distributed multi-GPU training.
• Prior publications in reputable ML/Audio/NLP venues.

Requirements

• PhD program enrollment in machine learning or related fields.
• Experience with training large audio language models.
• End-to-end model building experience.
• Familiarity with multi-GPU training.
• Publication experience in ML/Audio/NLP.

Benefits

• Opportunity to work on cutting-edge AI technology.
• Collaborative work environment.
• Flexible working hours.
• Gain experience in a fast-paced startup.
• Contribute to meaningful projects in fraud detection.