Pindrop
Cybersecurity • Telecommunications • Finance
Pindrop is a leader in voice authentication and fraud detection, offering innovative solutions to enhance the security of voice communications. The company uses advanced technologies such as liveness detection, behavioral analysis, and voice biometrics to combat threats like deepfakes and spoofing in various sectors including banking, finance, insurance, and retail. Pindrop integrates with platforms like Five9 to provide multifactor authentication, ensuring both the protection of sensitive information and a seamless user experience. With a focus on securing call centers and smart devices, Pindrop helps businesses prevent fraud and improve customer interactions by leveraging cutting-edge audio, voice, and AI technologies. Their solutions are trusted by some of the largest financial institutions and insurance companies around the world.
Research Engineer, Video – Contract Position
Job not on LinkedIn
2 days ago
Pindrop
Cybersecurity • Telecommunications • Finance
Pindrop is a leader in voice authentication and fraud detection, offering innovative solutions to enhance the security of voice communications. The company uses advanced technologies such as liveness detection, behavioral analysis, and voice biometrics to combat threats like deepfakes and spoofing in various sectors including banking, finance, insurance, and retail. Pindrop integrates with platforms like Five9 to provide multifactor authentication, ensuring both the protection of sensitive information and a seamless user experience. With a focus on securing call centers and smart devices, Pindrop helps businesses prevent fraud and improve customer interactions by leveraging cutting-edge audio, voice, and AI technologies. Their solutions are trusted by some of the largest financial institutions and insurance companies around the world.
📋 Description
• Design, curate, and maintain datasets used for ML model training, including data collection, augmentation, organization, and storage. • Develop and maintain tools and pipelines for data collection, augmentation, analysis, and visualization. • Contribute to research packages used for training, evaluating, and validating machine learning models. • Conduct experimental studies across a variety of audio-processing tasks to assess accuracy, robustness, and model quality. • Participate actively in the research team’s activities, including recurring research reviews, experimental discussions, and code reviews. • Collaborate closely with researchers and engineering teams to integrate findings and improve research workflows.
🎯 Requirements
• Master’s degree or PhD in a quantitative field (Computer Science, Engineering, AI, Mathematics, etc.) or equivalent practical experience. • 1+ years of professional experience as an ML or Research Engineer working in Deep Learning, preferably in Computer Vision, Pattern Recognition, Face Recognition, or broader Machine Learning. • Hands-on experience preparing datasets for ML training and evaluation. • Strong proficiency in Python. • Experience with ML frameworks such as TensorFlow, Keras, or PyTorch.
🏖️ Benefits
• Competitive compensation, including equity for all employees • Unlimited Paid Time Off (PTO) • Remote-first culture
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