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.

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

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.
While we work flexibly, we 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.

Research Scientist Intern – AI/ML Research, Fraud, Authentication, Speech, Video

Key skills