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Pindrop

Security, Identity & Intelligence On Every Voice

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

Research ScientistResearch ScientistInternshipRemoteEntry LevelTeam 201-500Since 2011H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

68 days ago

Salary

0

Seniority

Entry Level

Job Description

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

Pindrop

Role Description 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. - 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. Qualifications - 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. Requirements - Experience with ML, speech, vision, or security-related challenges and benchmarks (ASVspoof, Kaggle, NIST SRE, CHiME, AV-Deepfake1M++, etc.) - Nice to have. - Experience with C/C++ - Nice to have. - Deep knowledge of biometrics, authentication, fraud, customer experience, speech, or video research concepts - Nice to have. Benefits - 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. - 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. - Paid Parental Leave - Including birth, adoptive & foster parents. - Recurring monthly phone and internet allowance. - Enhanced fertility and GLP-1 benefits. - Annual Learning & Development stipend.

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