AI Fraud Detection Expert

Qualifications

• Ability to detect AI-generated fraud and disinformation in near-real time across all modalities
• Platform designed for ease of use, featuring a versatile API that integrates seamlessly with any system and an intuitive drag-and-drop web application
• Commitment to privacy, ensuring the strongest standards of compliance and protecting customer data
• A PhD or relevant industry experience in computer science, machine learning, or a related field
• In-depth understanding of deep learning research and implementation skills in Python, PyTorch, and GPU-enabled cloud compute
• Excellent software development skills and a positive attitude, with good communication skills to collaborate with cross-functional teams

Responsibilities

• You'll work closely with scientists to improve classification performance of deepfake detectors across all modalities, build techniques to assess and improve deep learning classifier reliability, and implement and evaluate ideas on a modern deep learning stack

Full Description

At Reality Defender, we're on a mission to safeguard the integrity of our digital world. As an Applied Scientist, you'll be at the forefront of developing cutting-edge solutions to detect and prevent AI-generated media fraud. Our team is driven by a sole research-backed mission, ensuring the highest standards of accuracy in all modalities, including audio, video, image, and text.

About Us

We're aY Combinator graduate and Comcast NBCUniversal LIFT Labs alumni, backed by DCVC. Our innovative approach has earned us recognition as the first company to pioneer multi-modal and multi-model detection of AI-generated media. Our web app and platform-agnostic API are built with ease of use in mind, allowing customers to swiftly mitigate fraud and cybersecurity risks in real time.

We stand out from the rest due to our:

• Best-in-class accuracy, derived from our singular focus on research-backed solutions and use of multiple models per modality

• Ability to detect AI-generated fraud and disinformation in near-real time across all modalities

• Platform designed for ease of use, featuring a versatile API that integrates seamlessly with any system and an intuitive drag-and-drop web application

• Commitment to privacy, ensuring the strongest standards of compliance and protecting customer data

Your Role and Responsibilities

You'll work closely with scientists to improve classification performance of deepfake detectors across all modalities, build techniques to assess and improve deep learning classifier reliability, and implement and evaluate ideas on a modern deep learning stack.

To succeed in this role, you'll need:

• A PhD or relevant industry experience in computer science, machine learning, or a related field

• In-depth understanding of deep learning research and implementation skills in Python, PyTorch, and GPU-enabled cloud compute

• Excellent software development skills and a positive attitude, with good communication skills to collaborate with cross-functional teams