# Research Scientist II – Deepfake Detection & Authentication (Video & Audio)

**Company**: Pindrop
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Salary**: $160,000 - $185,000USD
**Category**: Research
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/pindropsecurity/jobs/8328776?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_ec630267-c33

## Description

As a Research Scientist II on our core Research team, you will independently drive research initiatives, deliver reproducible experimental results, and help translate machine learning models into real-world product solutions across deepfake video, deepfake audio, and voice/identity authentication.

Responsibilities:

- Conduct research to develop new functionalities and improve existing technologies for synthetic media detection, multimodal deepfake identification (audio and video), and real-time identity authentication.

- Design, implement, and evaluate deep learning algorithms related to audio-visual deepfake detection, speech synthesis detection, facial manipulation analysis, and biometric authentication.

- Design, develop, and maintain internal research packages and pipelines to train, evaluate, and benchmark ML models, ensuring computational efficiency and absolute reproducibility.

- Partner closely with research engineers and engineering teams to transition complex research prototypes into efficient, scalable, production-ready systems across cloud and edge platforms.

- Support targeted investigations by analyzing model behavior, edge cases, attack vectors, and detection gaps, turning insights into measurable improvements in model robustness.

- Participate in regular code and research reviews, cross-functional project syncs, and contribute to patents and peer-reviewed papers for top-tier computer vision, speech, audio, and machine learning conferences.

Requirements:

- Master’s degree or PhD in Computer Science, Artificial Intelligence, Electrical Engineering, Mathematics, or a related quantitative field (or equivalent industry research experience).

- 3+ years of professional or post-graduate research experience in Deep Learning, with a dedicated focus on at least one core area: computer vision (facial analysis, video processing), speech/audio processing (speaker recognition, speech synthesis detection), or voice biometrics and identity authentication.

- Hands-on research experience in audio-visual deepfake detection, synthetic media identification, or multimodal biometric verification.

- Strong programming proficiency in Python with a proven ability to build, maintain, and structure reproducible research tooling, experimentation frameworks, or evaluation workflows.

- Hands-on mastery of modern machine learning frameworks such as PyTorch, TensorFlow, or Keras.

- A proven track record of successful, timely project delivery and the ability to translate research findings into practical improvements, supported by peer-reviewed publications or patent contributions.

Nice-to-haves:

- Functional programming experience in C/C++ or familiarity with model optimization and deployment tools (e.g., ONNX, TensorRT, TF-Lite, Go).

- Practical experience with real-time streaming video or audio processing pipelines and large-scale synthetic data generation/augmentation.

- Experience competing in or leveraging benchmarks from prominent challenges (e.g., DFDC, ASVspoof, NIST SRE/FRVT, Kaggle).

- Familiarity with natural language processing (NLP), foundational multimodal architectures, or sequence modeling applied to authentication and spoofing detection.

Benefits:

- Competitive compensation package, including RSUs (Restricted Stock Units) for all employees.

- Remote-first environment.

- Unlimited Paid Time Off (PTO).

- Generous health and welfare plans.

- Best-in-class Health Savings Account (HSA) employer contribution.

- Low-cost vision and dental plans.

- Paid Parental Leave.

- One year of diaper delivery.

- Recurring monthly phone and internet allowance.

- Enhanced fertility and GLP-1 benefits.

- Annual Learning & Development stipend.

## Skills

### Required
- Python
- PyTorch
- TensorFlow
- Keras
- Deep Learning
- Computer Vision
- Speech/Audio Processing
- Biometric Authentication

### Nice to have
- C/C++
- ONNX
- TensorRT
- TF-Lite
- Go
- NLP
- Multimodal Architectures
- Sequence Modeling

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/pindropsecurity/jobs/8328776?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)