Cloud Engineer Intern

Pindrop

3h•Remote

About The Position

Pindrop is the Real Human + Right Human® Identity Trust Platform for the AI era, delivering 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 annually. Pindrop is seeking Research Scientist Interns to explore exciting research ideas in areas such as fraud detection, authentication, speech and audio processing, video analysis, biometrics, and synthetic media detection. This role involves working within a world-class team of researchers to develop next-generation technologies that enhance trust, security, and user experience across voice and digital interactions.

Requirements

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.

Responsibilities

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.

Benefits

Competitive compensation package, including RSUs (Restricted Stock Units) for all employees, so everyone shares in our long-term success.
Remote-first environment - giving you flexibility and autonomy in how you structure your day.
Prioritize meaningful in-person moments through 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.
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.