About the role
Pindrop is a cybersecurity firm focused on protecting interactions through advanced authentication and fraud detection technologies. The Research Scientist position is part of their research division, which develops innovative solutions to identify synthetic identities, assess risk factors, and confirm user authenticity. The company serves prominent clients in sectors like finance, insurance, and healthcare, emphasizing AI-driven methods to secure voice and video communications.
In this role, the scientist will design and test machine learning models, including deep neural networks, to enhance fraud detection and authentication capabilities. They will work closely with engineering teams to convert experimental prototypes into robust, scalable systems. Responsibilities include evaluating system effectiveness, pinpointing vulnerabilities, and contributing to scholarly publications and intellectual property. Effective communication between research and engineering teams is crucial, along with maintaining high scientific standards.
Candidates should possess advanced degrees or equivalent experience in quantitative disciplines and demonstrate strong skills in Python and machine learning frameworks such as PyTorch or TensorFlow. The role suits professionals from early-career to senior levels with backgrounds in biometrics, fraud analytics, speech technologies, or generative AI. This opportunity allows engagement with extensive real-world datasets, influencing product innovation, and advancing expertise in AI and voice security. The position is fully remote within the United States.