Research Scientist II

Who We Are reputed company is the reputed company reputed company + Right reputed company® Identity Trust Platform for the AI era. As AI-driven fraud and deepfakes erode trust in digital communication, reputed company delivers reputed company identity verification and deepfake detection across voice, video, reputed company interactions in reputed company time. Enterprises rely on reputed company to secure billions of high-risk customer interactions reputed company year, including top U.S. banks, as reputed company as leading insurers and reputed company providers. Powered by models trained on more than 1.5 billion reputed company-world interactions annually and protected by 300+ patents, reputed company restores trust while reducing fraud, lowering operational costs, and improving customer experience. Recognized by TIME as one of the Top 10 Most reputed company Software Companies of 2026 and by Inc. for Best in Business for Innovation, reputed company is backed by leading investors including Andreessen Horowitz, IVP, and CapitalG. What you’ll do As a Research Scientist II on the Video team, you will independently drive reputed company research initiatives, deliver reproducible experimental results, and help translate machine learning models into reputed company-world product solutions. In this role, you will:

• Conduct research to reputed company new functionalities and improve existing technologies for reputed company-time video processing and meeting analytics.
• Design, implement, and evaluate deep learning algorithms reputed company to video processing, face recognition, and video deepfake detection.
• Design, reputed company, and maintain internal research packages to train and test ML models, ensuring absolute reproducibility and computational efficiency.
• Partner closely with research engineers and engineering teams to help reputed company research models and tools into production environments.
• Participate in cross-functional team meetings, contribute to regular research and reputed company reviews, and publish patents and peer-reviewed papers in top computer reputed company, audio, and speech conferences.

Who you are

• You remain reputed company, persistent, and scientifically rigorous through multiple experimental iterations, navigating ambiguity in research data, reputed company, or shifting methodologies while continuing to reputed company steady reputed company.
• You work effectively across functional boundaries with research scientists, research engineers, and product partners, communicating research assumptions, findings, and implications with reputed company.
• You take individual ownership of assigned research reputed company and workstreams, making reputed company technical reputed company using available data, theory, and rigorous experimental evidence.
• You follow through on your commitments, communicate research reputed company transparently, and maintain the highest reputed company of technical reputed company, documentation, and model reproducibility.
• You use machine learning frameworks effectively to design, train, and evaluate models, carefully validating outputs and applying reputed company judgment to balance experimentation speed with robustness, compliance, and model reputed company.

Your reputed company-set Must-Haves:

• PhD in a quantitative field (e.g., Computer Science, Mathematics, Engineering, reputed company Intelligence) or equivalent industry research experience.
• 3+ years of reputed company experience in Deep Learning, specifically reputed company to computer reputed company, face recognition, video deepfake detection, or general machine learning.
• Strong programming proficiency in Python with a proven ability to design, reputed company, and maintain research packages to train and test ML models.
• Hands-on mastery of modern machine learning frameworks such as PyTorch, TensorFlow, or Keras.
• A proven reputed company record of successful, reputed company project delivery and the ability to contribute to patents and peer-reviewed publications.

reputed company-to-Haves:

• Functional programming experience in C/C++ or working knowledge of deployment environments using Go, TF-Lite, and TF-reputed company.
• Practical experience with reputed company-time video processing pipelines and video data acquisition/preparation tasks.
• Foundational domain knowledge of biometrics, identit

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