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Research Scientist (Video)

US - Remote; US-Remote

Who We Are

Pindrop is a cybersecurity company delivering continuous identity verification across voice, video, and digital interactions. Powered by the Pindrop Intelligence Network, our unified trust platform helps enterprises answer three critical questions:

Is this identity synthetic? Detect AI-generated and manipulated voice and video.
Is this identity risky? Identify fraud, suspicious behavior, and other risk signals.
Is this identity known? Authenticate identities using voice, device, behavioral, and other signals.

Pindrop brings this intelligence together across purpose-built trust engines to help organizations make informed decisions in real time — protecting customers, workforce interactions, and emerging AI-driven interactions.

Pindrop protects billions of high-risk interactions for enterprises, including leading financial institutions, insurers, and healthcare organizations. Its technology is informed by more than 8 billion real-world interactions annually and protected by 300+ patents.

Recognized by TIME as one of the 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 Research Scientist II on the Video team, you will independently drive core research initiatives, deliver reproducible experimental results, and help translate machine learning models into real-world product solutions. In this role, you will:  

  • Conduct research to develop new functionalities and improve existing technologies for real-time video processing and meeting analytics.  
  • Design, implement, and evaluate deep learning algorithms related to video processing, face recognition, and video deepfake detection.  
  • Design, develop, 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 deploy research models and tools into production environments. 
  • Participate in cross-functional team meetings, contribute to regular research and code reviews, and publish patents and peer-reviewed papers in top computer vision, audio, and speech conferences.

Who you are

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

Your skill-set

Must-Haves:

  • PhD in a quantitative field (e.g., Computer Science, Mathematics, Engineering, Artificial Intelligence) 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 a proven ability to design, develop, 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 track record of successful, timely project delivery and the ability to contribute to patents and peer-reviewed publications. 

Nice-to-Haves:

  • Functional programming experience in C/C++ or working knowledge of deployment environments using Go, TF-Lite, and TF-Micro.  
  • Practical experience with real-time video processing pipelines and video data acquisition/preparation tasks.  
  • Foundational domain knowledge of biometrics, identity authentication, fraud patterns, or consumer security concepts.

What’s in it for you

This is an outstanding, high-impact opportunity to join Pindrop's core Research team and work on revolutionary research ideas designed to combat sophisticated deepfake threats. In an era where synthetic media and identity manipulation are rapidly accelerating, you will work alongside some of the best and brightest technical minds in AI, security, and computer vision. 

Your day-to-day contributions will directly enhance real-time communication safety and defend global enterprise systems from fraud and deception. We are intense about execution excellence, but we are also a highly collaborative team that enjoys the journey—offering a sustainable engineering culture backed by unlimited rest and continuous professional growth.

What we offer

As a part of Pindrop, you’ll have a direct impact on our growing list of products and the future of security in the voice-driven economy. We hire great people and take care of them. Here’s a snapshot of the benefits we offer:

  • Competitive compensation package, including RSUs (Restricted Stock Units) for all employees, so everyone shares in our long-term success.
  • Remote-first environment - giving you flexibility and autonomy in how you structure your day.
  • While we work flexibly, we prioritize meaningful in-person moments through regular team on-sites, company-wide events, and intentional gatherings that foster connection, collaboration, and shared success.
  • Unlimited Paid Time Off (PTO)
  • Generous health and welfare plans to choose from - including one employer-paid “employee-only” plan!
  • Best-in-class Health Savings Account (HSA) employer contribution
  • Low-cost vision and dental plans for you and your family, providing comprehensive coverage and peace of mind.
  • Paid Parental Leave - Including birth, adoptive & foster parents
  • One year of diaper delivery for your newest addition to the family! It’s our way of welcoming new Pindroplets to the family!
  • Recurring monthly phone and internet allowance to help cover essential connectivity costs and support flexible work.
  • Enhanced fertility and GLP-1 benefits to support family-building journeys and personalized health needs.
  • Annual Learning & Development stipend to support your professional growth, skill-building, certifications, and continued education.

#LI-Remote #LI-HB1

Please note that the base pay range is a general guideline only. Pindrop considers factors such as (but not limited to) scope and responsibilities of the position, a candidate's work experience, education/training, and key skills, as well as market and business considerations, when extending an offer.

US Base Pay Range

$160,000 - $185,000 USD

Not sure if this is you?

We want a diverse, global team, with a broad range of experience and perspectives. If this job sounds great, but you’re not sure if you qualify, apply anyway! We carefully consider every application and will either move forward with you, find another team that might be a better fit, keep in touch for future opportunities, or thank you for your time.

AI - A Transformative Force

At Pindrop, we view artificial intelligence as a transformative force that, when harnessed responsibly, can unlock unprecedented value for our customers, partners and society and enable and empower us to continue to deliver cutting-edge technology to combat fraud and unblur the lines between what it means to be human versus machine.

Pindrop may use AI tools to help prioritize job applications for human review. The AI tool may analyze your work experience and skills to assess fit for the role, but does not consider your name or contact details. Applications with the strongest match to job requirements are prioritized for human review; not all applications may be individually reviewed.

Pindrop is an Equal Opportunity Employer

Here at Pindrop, it is our mission to create and maintain a diverse and inclusive work environment. As an equal opportunity employer, all qualified applicants receive consideration for employment without regard to race, color, age, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetic information, disability, marital and/or veteran status.

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I understand that any misrepresentation or omission of fact on this application, my resume, any supplementary materials submitted by me, and interview responses, may be cause for a refusal to hire me or the termination of employment at any time during the period of my employment.

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By submitting your application, you acknowledge receipt of Pindrop’s Candidate Privacy Notice, and have read, understand, and consent to the following:

  • Pindrop collects and processes your personal data for the purpose of evaluating your job application, including your resume and cover letter, submitted questionnaires, and assessment results.
  • Any skills assessments and any job interviews may be recorded by Pindrop and its service provider, CoderByte, including all video, audio, and other recordable data; the data recorded may constitute "biometric information" under specific state privacy and/or biometric laws. 
  • Interview recordings and Deepfake Data may be used for fraud prevention and security verification. Interview recordings may also be used to evaluate your qualifications for the role. We will not use your interview audio or video content to train AI models. Pindrop may use Deepfake Data to improve the accuracy of our fraud detection systems.
  • Your personal data will be stored primarily in the United States, and if you are an international applicant, your data may be transferred across borders with appropriate safeguards.
  • Your personal data will be retained for up to six months unless you provide explicit consent for future job opportunities, and you may request deletion of your data subject to applicable legal requirements.
  • Pindrop may use AI tools to help prioritize job applications for human review. The AI tool may analyze your work experience and skills to assess fit for the role, but does not consider your name or contact details. Applications with the strongest match to job requirements are prioritized for human review; not all applications may be individually reviewed.
  • You have rights regarding your personal data, including the right to access, correct, delete, or object to processing, and that you can contact privacy@pindrop.com to exercise these rights.

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.

As set forth in Pindrop’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

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If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categories is as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

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The application deadline for this role is September 28, 2026