Job Description:
• 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.
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.
• 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.
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.
• 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.