Research Scientist II: Deepfake Detection & Auth (Video/Audio)

Pindrop; United States; Remote; USD 160,000 - 185,000; Full time

Benefits offered by this job

RSUs

Unlimited PTO

Health coverage

HSA employer contribution

Parental Leave

L&D stipend

Remote-first

Job summary

Pindrop is seeking a Research Scientist II to advance deepfake detection and identity authentication across video and audio. You will run independent research projects, produce reproducible results, and help translate research into scalable, production-ready systems.

You’ll prototype algorithms for synthetic media detection, multimodal biometrics, and real-time evaluation, collaborating with engineers to deploy on cloud and edge.

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 dedicated focus on at least one core area: computer vision, speech/audio processing, or voice biometrics and 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 reproducibility.
• Partner closely with research engineers and engineering teams to transition complex research prototypes into production-ready systems across cloud and edge platforms.
• Support investigations by analyzing model behavior, edge cases, attack vectors, and detection gaps, turning insights into measurable improvements in robustness.
• Participate in code and research reviews, cross-functional project syncs, and contribute to patents and peer-reviewed papers.

Skills

Python

PyTorch

TensorFlow

Keras

Deep Learning

Multimodal learning

Video processing

Audio processing

Biometric authentication

Research

Education

Master’s or PhD in CS/AI/EE/Math

3+ years post-graduate research in Deep Learning

Tools

ONNX

TensorRT

TF-Lite

Go

Job description

Pindrop is seeking a Research Scientist II to advance deepfake detection and identity authentication across video and audio. You will run independent research projects, produce reproducible results, and help translate research into scalable, production-ready systems.

You’ll prototype algorithms for synthetic media detection, multimodal biometrics, and real-time evaluation, collaborating with engineers to deploy on cloud and edge.