Cloud Engineer Intern at Pindrop in Remote

Summary: Pindrop is the Real Human + Right Human® Identity Trust Platform for the AI era, focused on securing high-risk customer interactions. They are seeking a Cloud Engineer Intern to develop and evaluate machine learning systems, prototype new research ideas, and collaborate with cross-functional teams to enhance security and user experience. 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 Required 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 Preferred Qualifications: - 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 Required Skills: Fraud detection, Authentication, Identity verification, Speech processing, Audio deepfake detection, Video deepfake detection, Speech generation, Audio generation, Image generation, Video generation, Speaker recognition, Anti-spoofing, Voice biometrics, Facial recognition, Video understanding, Machine learning for security, Python, PyTorch, TensorFlow, Keras 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., 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.