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

Pindrop

. Independently drive research initiatives and deliver reproducible experimental results .

Posted 10/27/2026full-timeRemote • United StatesMid-LevelSenior💰 $160,000 - $185,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in deep learning and machine learning model development, particularly in audio-visual deepfake detection and biometric authentication. Proven ability to translate research into scalable product solutions and maintain robust experimentation frameworks.

Highest-signal resume keywords

Deep Learning ExpertisePython Programming ProficiencyHands-On Experience with PyTorchResearch Experience in Audio-Visual Deepfake DetectionMaster's Degree or PhD in Relevant Field

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Deep LearningMachine LearningAudio-Visual Deepfake DetectionBiometric AuthenticationSynthetic Media IdentificationExperimentation FrameworksModel EvaluationMultimodal Biometric VerificationSpeech/Audio ProcessingComputer Vision

Soft Skills

Project DeliveryResearch CollaborationCommunication Skills

Tools & Technologies

PyTorchTensorFlowKerasONNXTensorRTTF-LiteC/C++Real-Time Streaming Processing

Industry Keywords

DeepfakeSynthetic MediaVoice BiometricsMultimodal ArchitecturesPeer-Reviewed PublicationsPatentsKaggle BenchmarksDFDCASVspoofNIST SRE/FRVT

Tech Stack

Tools & technologies

CloudKerasPythonPyTorchTensorflowC++Go

About the role

Key responsibilities & impact

Independently drive research initiatives and deliver reproducible experimental results
Translate machine learning models into real-world product solutions across deepfake video, deepfake audio, and voice/identity authentication
Conduct research to develop and improve synthetic media detection, multimodal deepfake identification, and real-time identity authentication
Design, implement, and evaluate deep learning algorithms for audio-visual deepfake detection, speech synthesis detection, facial manipulation analysis, and biometric authentication
Develop and maintain internal research packages and pipelines for training, evaluating, and benchmarking ML models
Partner with research engineers and engineering teams to transition research prototypes into scalable production systems across cloud and edge platforms
Analyze model behavior, edge cases, attack vectors, and detection gaps to improve model robustness
Participate in code and research reviews, cross-functional project syncs, patents, and peer-reviewed papers

Requirements

What you’ll need

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, focused 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
Proven ability to build, maintain, and structure reproducible research tooling, experimentation frameworks, or evaluation workflows
Hands-on mastery of PyTorch, TensorFlow, or Keras
Proven track record of successful, timely project delivery
Ability to translate research findings into practical improvements
Peer-reviewed publications or patent contributions
Nice-to-have: Functional programming experience in C/C++ or familiarity with ONNX, TensorRT, TF-Lite, or Go
Nice-to-have: Experience with real-time streaming video or audio processing pipelines and large-scale synthetic data generation/augmentation
Nice-to-have: Experience with DFDC, ASVspoof, NIST SRE/FRVT, or Kaggle benchmarks
Nice-to-have: Familiarity with NLP, foundational multimodal architectures, or sequence modeling

Benefits

Comp & perks

Competitive compensation package, including RSUs (Restricted Stock Units) for all employees
Remote-first environment - giving you flexibility and autonomy in how you structure your day
Regular team on-sites, company-wide events, and intentional gatherings
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 for you and your family
Paid Parental Leave, including birth, adoptive & foster parents
One year of diaper delivery for your newest addition to the family
Recurring monthly phone and internet allowance
Enhanced fertility and GLP-1 benefits
Annual Learning & Development stipend for professional growth, skill-building, certifications, and continued education