Research Scientist (Video)

As a Research Scientist II on the Video team at Pindrop, you will independently drive core research initiatives, deliver reproducible experimental results, and help translate machine learning models into real-world product solutions.

You will conduct research to develop new functionalities and improve existing technologies for real-time video processing and meeting analytics.

Key responsibilities include:

• Designing, implementing, and evaluating deep learning algorithms related to video processing, face recognition, and video deepfake detection.
• Developing and maintaining internal research packages to train and test ML models, ensuring reproducibility and computational efficiency.
• Collaborating with research engineers and engineering teams to deploy research models and tools into production environments.
• Participating in cross-functional team meetings, contributing to research and code reviews, and publishing patents and peer-reviewed papers.

The ideal candidate will have:

• A PhD in a quantitative field or equivalent industry research experience.
• 3+ years of professional experience in Deep Learning, specifically applied to computer vision, face recognition, video deepfake detection, or general machine learning.
• Strong programming proficiency in Python with experience in modern machine learning frameworks such as PyTorch, TensorFlow, or Keras.
• A proven track record of successful project delivery and the ability to contribute to patents and peer-reviewed publications.

Pindrop offers a competitive compensation package, including RSUs, a remote-first environment, unlimited paid time off, generous health and welfare plans, and a best-in-class Health Savings Account employer contribution.

The base pay range for this position is $160,000 - $185,000 USD.