Pindrop
SeniorResearchScientist
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optimal for Senior candidates.
“Senior Research Scientist at Pindrop. Skills: Computer Vision, Deep Learning, Deepfake detection, Video processing. Drive forward-looking research. Design novel machine learning algorithms”
What You'll Achieve.
Improve model strategy; Tangible business outcomes; Deliver on promises
Industry & Context.
Open-ended research problems; Scientific rigor; Empirical data
What They're Looking For.
Must Have
PhD in Computer Science, Artificial Intelligence, Engineering, Mathematics, or a related quantitative field, 3+ years of professional research experience in Deep Learning, Deep technical expertise in real-time video processing, programming proficiency in Python, mastery of modern machine learning frameworks, proven track record of successful project delivery, publication of peer-reviewed research or patents
Nice to Have
programming skills in C/C++, experience working with deployment tools like Go, TF-Lite, and TF-Micro, Experience competing in or leveraging benchmarks from prominent Computer Vision and machine learning challenges, Deep domain knowledge of biometrics, identity authentication, fraud patterns, or consumer security concepts
What You'll Do.
Drive forward-looking research
Design novel machine learning algorithms
Implement novel machine learning algorithms
Evaluate novel machine learning algorithms
Partner closely with engineering teams
Transition complex research prototypes
Transition tools into production-ready systems
Maintain high standards for model reproducibility
Author peer-reviewed papers
Conduct research reviews
Mentor junior researchers
Utilize empirical data to influence product strategy
Design machine learning architectures
Evaluate machine learning architectures
How You'll Work.
Team & Collaboration
Partner with engineering teams; Collaborate with technical stakeholders
Communication Scope
Explain AI/ML concepts; Explain computer vision concepts
Full Job Description
Who We Are Pindrop is the Real Human + Right Human® Identity Trust Platform for the AI era. As AI-driven fraud and deepfakes erode trust in digital communication, Pindrop delivers continuous identity verification and deepfake detection across voice, video, and digital interactions in real time. Enterprises rely on Pindrop to secure billions of high-risk customer interactions each year, including top U. S. banks, as well as leading insurers and healthcare providers. Powered by models trained on more than 1.5 billion real-world interactions annually and protected by 300+ patents, Pindrop restores trust while reducing fraud, lowering operational costs, and improving customer experience. Recognized by TIME as one of the Top 10 Most Influential Software Companies of 2026 and by Inc. for Best in Business for Innovation, Pindrop is backed by leading investors including Andreessen Horowitz, IVP, and CapitalG. What you’ll do As a Senior Research Scientist on the Video team, you will be responsible for advancing core research initiatives and translating advanced computer vision and deepfake detection models into real-world, scalable enterprise solutions. In this role, you will: Drive forward-looking research that advances Pindrop’s core technologies in audio-visual deepfake detection, synthetic media identification, and real-time video processing. Design, implement, and evaluate novel machine learning and computer vision algorithms tailored for video data and meeting analytics. Partner closely with engineering teams to transition complex research prototypes and tools into efficient, production-ready systems across multiple platforms. Maintain high standards for model reproducibility, publish patents, and author peer-reviewed papers for top-tier computer vision, machine learning, and speech conferences. Act as a technical authority by conducting code and research reviews, mentoring junior researchers, and utilizing empirical data to influence product strategy. Who you are You
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