Remote Research Scientist - Multimodal Deepfake Detection

Pindrop; Oregon; Hybrid; USD 160,000 - 185,000; Full time

Benefits offered by this job

RSUs

Remote-first

Unlimited PTO

Health and welfare plans

HSA employer contribution

Parental Leave

Learning stipend

Job summary

Pindrop is seeking a Research Scientist II to drive end-to-end research in deepfake detection and voice/video authentication. You will lead experiments, build scalable ML pipelines, and translate research into real‑world security solutions across cloud and edge platforms.

You will collaborate with researchers and engineers to push the state of the art in multimodal authentication while publishing findings and contributing to patents.

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 focus on one core area: computer vision, speech/audio, or voice biometrics

Responsibilities

• 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 with reproducibility
• Partner with research engineers and engineering teams to transition research prototypes into production-ready systems across cloud and edge platforms
• Support investigations by analyzing model behavior, edge cases, attack vectors, and detection gaps to improve robustness
• Participate in code and research reviews, cross-functional project syncs, and contribute to patents and peer‑reviewed papers

Skills

Python

Deep Learning

Computer Vision

ML Research

PyTorch

TensorFlow

Keras

Reproducible Research

Education

Master's or PhD in CS/AI/EE/Math

Tools

ONNX

TensorRT

Keras

Job description

Pindrop is seeking a Research Scientist II to drive end-to-end research in deepfake detection and voice/video authentication. You will lead experiments, build scalable ML pipelines, and translate research into real‑world security solutions across cloud and edge platforms.

You will collaborate with researchers and engineers to push the state of the art in multimodal authentication while publishing findings and contributing to patents.