Research Scientist II (Video)

New

PindropCybersecurity, computer vision

Source API remote eligibility restrictions: United StatesFull-TimeMiddle

Salary160,000 - 185,000 USD per year

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Job Details

Hold a PhD in a quantitative field such as Computer Science, Mathematics, Engineering, or Artificial Intelligence, or have equivalent industry research experience.
Have 3+ years of professional experience in deep learning applied to computer vision, face recognition, video deepfake detection, or general machine learning.
Demonstrate strong programming proficiency in Python.
Design, develop, and maintain research packages for training and testing machine-learning models.
Have hands-on mastery of PyTorch, TensorFlow, or Keras.
Show a track record of successful, timely project delivery and the ability to contribute to patents and peer-reviewed publications.
Nice to have: functional programming experience in C/C++ or working knowledge of Go, TF-Lite, and TF-Micro deployment environments.
Nice to have: practical experience with real-time video processing pipelines and video data acquisition or preparation.
Nice to have: foundational knowledge of biometrics, identity authentication, fraud patterns, or consumer security.

Conduct research to develop new functionalities and improve technologies for real-time video processing and meeting analytics.
Design, implement, and evaluate deep-learning algorithms for video processing, face recognition, and video deepfake detection.
Develop and maintain internal research packages to train and test machine-learning models reproducibly and efficiently.
Partner with research engineers and engineering teams to deploy research models and tools into production.
Participate in cross-functional meetings and contribute to research and code reviews.
Publish patents and peer-reviewed papers in computer vision, audio, and speech conferences.

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