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

The role

You will drive research initiatives and deliver reproducible experimental results in deepfake video, deepfake audio, and voice/identity authentication. You will design, implement, and evaluate deep learning algorithms and transition research prototypes into production-ready systems.

What you will do

• Conduct research to develop new functionalities and improve existing technologies for synthetic media detection, multimodal deepfake identification, 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.
• Partner with research engineers and engineering teams to transition research prototypes into production-ready systems across cloud and edge platforms.
• Support targeted investigations by analyzing model behavior, edge cases, attack vectors, and detection gaps.
• Participate in regular code and research reviews, cross-functional project syncs, and contribute to patents and peer-reviewed papers.

Required qualifications

• 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 focus on computer vision, speech/audio processing, 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
• Hands-on mastery of modern machine learning frameworks such as PyTorch, TensorFlow, or Keras
• Proven track record of successful, timely project delivery supported by peer-reviewed publications or patent contributions

Nice to have

• 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
• Remote-first environment
• Unlimited Paid Time Off (PTO)
• Generous health and welfare plans, including one employer-paid employee-only plan
• 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

Before you apply

• Pindrop may use AI tools to help prioritize job applications for human review.

About the company

Pindrop is a cybersecurity company delivering continuous identity verification across voice, video, and digital interactions. Its technology is informed by more than 8 billion real-world interactions annually and protected by 300+ patents.