Reality DefenderRD

Machine Learning Engineer

Reality Defender is a cybersecurity company specializing in deepfake and AI-generated media detection, offering solutions for enterprises and governments to identify and prevent fraud and disinformation. [1, 3]

Reality Defender

Employee count: 11-50

Salary: 150k-220k USD

United States only

About Reality Defender

Reality Defender provides accurate, multi-modal AI-generated media detection solutions to enable enterprises and governments to identify and prevent fraud, disinformation, and harmful deepfakes in real time. A Y Combinator graduate, Comcast NBCUniversal LIFT Labs alumni, and backed by DCVC, Reality Defender is tdhe first company to pioneer multi-modal and multi-model detection of AI-generated media. Our web app and platform-agnostic API built by our research-forward team ensures that our customers can swiftly and securely mitigate fraud and cybersecurity risks in real time with a frictionless, robust solution.

Youtube: Reality Defender Wins RSA Most Innovative Startup

Why we stand out:

  • Our best-in-class accuracy is derived from our sole, research-backed mission and use of multiple models per modality

  • We can detect AI-generated fraud and disinformation in near- or real time across all modalities including audio, video, image, and text.

  • Our platform is designed for ease of use, featuring a versatile API that integrates seamlessly with any system, an intuitive drag-and-drop web application for quick ad hoc analysis, and platform-agnostic real-time audio detection tailored for call center deployments.

  • We’re privacy first, ensuring the strongest standards of compliance and keeping customer data away from the training of our detection models.

Role and Responsibilities

  • Train/finetune deep learning models in PyTorch on new datasets and per client requirements

  • Model monitoring and quality assurance for deployed models

  • ML workflow automation and continuous integration/continuous delivery (CI/CD) for client-facing models

  • Adopt standard model optimization/compression methods for inference speed-up

  • Implement model obfuscation and vulnerability checks

  • Collaborate with both AI and Engineering teams for model/infrastructure needs and performance guidance

About You

  • Masters or PhD in Computer Science with specialization in machine learning/deep learning (ML/DL)

  • 2+ years coding experience in Python; Strong programming skills required

  • 2+ years industry experience with model training/finetuning in PyTorch

  • [Preferred] Experience finetuning large foundation models, e.g. wav2vec, HuBERT for downstream classification

  • Experience with automated testing and CI/CD concepts in machine learning workflow

  • Strong foundation in machine learning and data science

  • Good communication and inter-personal skills, comfortable with client-facing responsibilities

Compensation Range: $150K - $220K

About the job

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Job type

Full Time

Experience level

Mid-level

Salary

Salary: 150k-220k USD

Location requirements

Hiring timezones

United States +/- 0 hours

About Reality Defender

Learn more about Reality Defender and their company culture.

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We are Reality Defender, a cybersecurity company at the forefront of combating the rising tide of deepfakes and AI-generated media. Founded in 2021 and headquartered in New York, our mission is to protect enterprises, governments, and other institutions from the sophisticated threats posed by synthetic media. [1, 2, 3] We understand that in an AI-powered world, the ability to trust what you see and hear is paramount. That's why we've dedicated ourselves to developing cutting-edge detection solutions that empower organizations to identify and mitigate these risks effectively. Our team brings together decades of experience from leading organizations like Google, Goldman Sachs, and the Intelligence Community, combining deep expertise in data science and cybersecurity to tackle this evolving challenge. [5, 16]

At Reality Defender, we're passionate about building a future where trust is measurable and deception can't hide in plain sight. Our core technology utilizes a patented, multi-model approach, which means we don't rely on a single detection method. Instead, we employ an ensemble of models that are continuously tested and updated to stay ahead of the latest generative AI platforms. [1, 4] This allows us to provide robust, real-time detection of AI-generated or manipulated content across various modalities, including audio, video, images, and text, without needing watermarks or prior authentication. [3, 17] We offer our solutions through a cloud-based web platform and a flexible API, enabling seamless integration into existing workflows and technology stacks. [1, 4] Whether it's preventing voice fraud in call centers, ensuring media authenticity in newsrooms, securing onboarding processes, or combating disinformation campaigns, we are committed to providing the tools necessary to safeguard critical communications and maintain the integrity of digital interactions. [1, 5, 16] We're proud to be recognized for our innovation, including being named the Most Innovative Company at the RSA Innovation Sandbox competition.

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Reality Defender

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