Research Scientist (Video)

Pindrop
United States
Workplace: RemoteFull timeUSD 165,000 - 195,000 annuallyFunction: Data Science & Machine LearningEducation: phdSkills: ["Collaboration","Communication","Technical integrity","Documentation","Ownership"]

Independently drive core video research initiatives by delivering reproducible experimental results and translating deep learning models into real-world product solutions. Develop and evaluate deep learning for video processing, face recognition, and video deepfake detection, building internal research packages to ensure model reproducibility and efficiency. Partner with research engineers and product/engineering teams to deploy tools into production, and contribute through code reviews, conferences, and patent-worthy research.

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FursaFursa
Pindrop
Pindrop
3 months ago

Research Scientist (Video)

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Last checked: 5 hours agoStatus: Live

Job Summary

Independently drive core video research initiatives by delivering reproducible experimental results and translating deep learning models into real-world product solutions. Develop and evaluate deep learning for video processing, face recognition, and video deepfake detection, building internal research packages to ensure model reproducibility and efficiency. Partner with research engineers and product/engineering teams to deploy tools into production, and contribute through code reviews, conferences, and patent-worthy research.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Conduct research to develop new functionalities and improve real-time video processing and meeting analytics technologies.
  • •Design, implement, and evaluate deep learning algorithms for video processing, face recognition, and video deepfake detection.
  • •Design, develop, and maintain internal research packages to train and test ML models with reproducibility and computational efficiency.
  • •Partner with research engineers and engineering teams to deploy research models and tools into production environments.
  • •Participate in cross-functional meetings, contribute to research and code reviews, and publish patents and peer-reviewed papers.

Pay and Benefits

Salary: USD 165,000 - 195,000 annually
Equity and Bonus:Equity
Perks:RsusHealth InsuranceDentalVisionHsaPaid ParentalPaid LeaveLearning Budget

Key Requirements

  • •PhD in a quantitative field (e.g., Computer Science, Mathematics, Engineering, Artificial Intelligence) or equivalent industry research experience.
  • •3+ years of professional experience in deep learning applied to computer vision, face recognition, video deepfake detection, or general machine learning.
  • •Strong programming proficiency in Python, with the ability to design, develop, and maintain research packages to train and test ML models.
  • •Hands-on mastery of modern ML frameworks such as PyTorch, TensorFlow, or Keras.
  • •Demonstrated track record of timely project delivery and contributions to patents and peer-reviewed publications.
Experience:Deep learningComputer visionFace recognitionVideo deepfake detectionMachine learning
Education:PhD / Doctorate
Skills:CollaborationCommunicationTechnical integrityDocumentationOwnership
Tech Stack:PythonPyTorchTensorFlowKerasC/C++GoTF-LiteTF-Micro

Company Brief

Pindrop
Provides voice security and fraud prevention solutions that analyze phone calls and voice interactions to detect fraud, authenticate callers, and protect contact centers using voice biometrics, machine learning, and risk-scoring telemetry.
Industry: Cybersecurity
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Funding: Series E+
Headquarters: Atlanta, United States
Founded: 2011
WebsiteLinkedIn