Research Scientist Intern (AI/ML Research - Fraud, Authentication, Speech, and Video)

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.S. 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: Evaluate models on internal and public datasets, participate in relevant research benchmarks and challenges, and compare approaches against state-of-the-art methods.
• Collaborate on research and innovation: Partner with researchers, engineers, and cross-functional teams to translate research ideas into practical capabilities. Contribute to technical reports, publications, and thought leadership where appropriate.

Who you are

• You are a creative problem solver who is excited about building amazing products that add real value to millions of people.
• You are enthusiastic about biometric security, fraud prevention, authentication, and developing research ideas into products.
• You can explain complex topics in simple terms, and you love building strong relationships with colleagues and stakeholders.
• You are a self-starter and excel in a fast-paced, dynamic environment that often includes ambiguity.
• You are resilient in the face of challenges, change, and ambiguity.
• You are optimistic and believe that you can make a problem into a solution.
• You are resourceful, excited to uncover innovative solutions, and teach yourself something new when needed.
• You take accountability, do the things you say you will do, under-promise and over-deliver.
• You are nimble and adaptable when priorities change and continue to see the forest through the trees.

Your skill-set

Must haves

• Active enrollment in a PhD program in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.) required.
• Ability to demonstrate experience in one or more of the following: fraud detection; authentication and identity verification; speech processing; audio and/or video deepfake detection; speech, audio, image, or video generation/synthesis; speaker recognition/processing; anti-spoofing; voice biometrics; facial recognition; video understanding and analysis; machine learning for security, biometrics, or trust and safety.
• Python skills required.
• Experience with ML frameworks such as PyTorch, TensorFlow, or Keras required.
• Proven track record of successful and timely project delivery required.

Nice to haves

• Experience with ML, speech, vision, or security-related challenges and benchmarks (ASVspoof, Kaggle, NIST SRE, CHiME, AV-Deepfake1M++, etc.).
• Experience with C/C++.
• Deep knowledge of biometrics, authentication, fraud, customer experience, speech, or video research concepts.

What’s in it for you

In an era where synthetic media, frau