Research Scientist II

Summary

Pindrop is an identity trust platform that provides real-time identity verification and deepfake detection across voice, video, and digital interactions. The Research Scientist II will lead research initiatives for real-time video processing and meeting analytics, develop and evaluate deep learning models, maintain reproducible research packages, and help deploy models into production.

Responsibilities

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

Skills

• 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, specifically applied to computer vision, face recognition, video deepfake detection, or general machine learning
• Strong programming proficiency in Python with a proven ability to design, develop, and maintain research packages to train and test ML models
• Hands-on mastery of modern machine learning frameworks such as PyTorch, TensorFlow, or Keras
• A proven track record of successful, timely project delivery and the ability to contribute to patents and peer-reviewed publications
• Functional programming experience in C/C++ or working knowledge of deployment environments using Go, TF-Lite, and TF-Micro
• Practical experience with real-time video processing pipelines and video data acquisition/preparation tasks
• Foundational domain knowledge of biometrics, identity authentication, fraud patterns, or consumer security concepts

Qualifications

Must Haves

• 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, specifically applied to computer vision, face recognition, video deepfake detection, or general machine learning
• Strong programming proficiency in Python with a proven ability to design, develop, and maintain research packages to train and test ML models
• Hands-on mastery of modern machine learning frameworks such as PyTorch, TensorFlow, or Keras
• A proven track record of successful, timely project delivery and the ability to contribute to patents and peer-reviewed publications

Nice to Haves

• Functional programming experience in C/C++ or working knowledge of deployment environments using Go, TF-Lite, and TF-Micro
• Practical experience with real-time video processing pipelines and video data acquisition/preparation tasks
• Foundational domain knowledge of biometrics, identity authentication, fraud patterns, or consumer security concepts

Benefits

• 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 that foster connection, collaboration, and shared success
• Unlimited Paid Time Off (PTO)
• Generous health and welfare plans to choose from - 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, providing comprehensive coverage and peace of mind
• 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 to help cover essential connectivity costs and support flexible work
• Enhanced fertility and GLP-1 benefits to support family-building journeys and personalized health needs
• Annual Learning & Development stipend to support your professional growth, skill-building, certifications, and continued education