Senior Research Scientist

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 using empirical data to influence product strategy. Who you are You are energized by open‑ended, ambiguous research problems; you maintain high focus and scientific rigor even when experiments fail, quickly incorporating negative findings to improve model strategy. You seamlessly bridge the gap between research and engineering teams, explaining complex AI/ML and computer vision concepts with clarity to both technical and non‑technical stakeholders. You take complete ownership of your research projects from initial hypothesis to final evaluation, balancing long‑term scientific exploration with near‑term business outcomes. You operate with absolute technical integrity, proactively documenting assumptions, risks, and experimental limitations while delivering on promises. You design and evaluate machine learning architectures with awareness of bias, drift, and operational deployment constraints, balancing rapid innovation with responsible AI principles. Your skill‑set Must‑Haves: 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, with 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 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. What we offer Competitive compensation package, including RSUs (Restricted Stock Units) for all employees, so everyone shares in our long‑term success. Remote‑first environment—flexibility and autonomy in how you structure your day. Meaningful in‑person moments through regular team on‑sites, company‑wide events, and intentional gatherings that foster connection and collaboration. Unlimited Paid Time Off (PTO). Generous health and welfare plans, 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, and foster parents. One year of diaper delivery for the newest addition. Recurring monthly phone and internet allowance to 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 for professional growth, skill‑building, certifications, and continued education. US Base Pay Range $185,000-$215,000 USD Equal Opportunity & EEO Statement 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. #J-18808-Ljbffr