Who We Are Pindrop is the Real Human + Right Human® Identity Trust Platform for the AI era.
As AI-driven fraud and deepfakes erode trust in digital communication, Pindrop delivers continuous identity verification and deepfake detection across voice, video, and digital interactions in real time.
Enterprises rely on Pindrop to secure billions of high-risk customer interactions each year, including top U.
banks, as well as leading insurers and healthcare providers.
Powered by models trained on more than 1.
5 billion real-world interactions annually and protected by 300+ patents, Pindrop restores trust while reducing fraud, lowering operational costs, and improving customer experience.
Recognized by TIME as one of 2025’s Best Inventions and by Inc.
for Best in Business for Innovation, Pindrop is backed by leading investors including Andreessen Horowitz, IVP, and CapitalG.
We are looking for Research Scientist Interns to help explore exciting research ideas across one or more of the following areas: fraud detection, authentication, speech and audio processing, video analysis, biometrics, and synthetic media detection.
This candidate will work in a world-class team of researchers and will play a key role in developing next-generation technologies that improve trust, security, and user experience across voice and digital interactions.
What you'll do Develop and evaluate machine learning systems: Design, implement, and assess advanced models for problems such as fraud detection, authentication, biometric verification, speech processing, video understanding, and synthetic media detection.
Prototype and validate new research ideas: Explore state-of-the-art AI/ML techniques and build proof-of-concept systems to address emerging challenges in security, identity, and media authenticity.
Work with multimodal data: Analyze and model speech, audio, video, and related signals to improve system accuracy, robustness, and real-world performance.
Benchmark against industry standards:.