Senior Research Scientist
About The Position
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. You will design, implement, and evaluate novel machine learning and computer vision algorithms tailored for video data and meeting analytics. You will partner closely with engineering teams to transition complex research prototypes and tools into efficient, production-ready systems across multiple platforms. You will maintain high standards for model reproducibility, publish patents, and author peer-reviewed papers for top-tier computer vision, machine learning, and speech conferences. You will act as a technical authority by conducting code and research reviews, mentoring junior researchers, and utilizing empirical data to influence product strategy.
Requirements
- PhD in Computer Science, Artificial Intelligence, Engineering, Mathematics, or a related quantitative field (or equivalent industry experience).
- 3+ years of professional research experience in Deep Learning, specifically focused on Computer Vision, image/video deepfake detection, facial recognition, or generative AI.
- Deep technical expertise in real-time video processing, video data acquisition, pipeline preparation, and model deployment across cloud or edge environments.
- Strong programming proficiency in Python, alongside hands-on mastery of modern machine learning frameworks such as PyTorch, TensorFlow, or Keras.
- A proven track record of successful project delivery and publication of peer-reviewed research or patents at prestigious scientific conferences.
Nice To Haves
- Strong programming skills in C/C++ or 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 (e.g., NIST FRVT, DFDC, Kaggle).
- Deep domain knowledge of biometrics, identity authentication, fraud patterns, or consumer security concepts.
Responsibilities
- 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.
Benefits
- Competitive compensation package, including RSUs (Restricted Stock Units) for all employees
- Remote-first environment
- 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
- Paid Parental Leave - Including birth, adoptive & foster parents
- One year of diaper delivery for your newest addition to the family!
- Recurring monthly phone and internet allowance
- Enhanced fertility and GLP-1 benefits
- Annual Learning & Development stipend
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Ph.D. or professional degree
