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 utilizing 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. You can explain complex AI/ML and computer vision concepts with absolute clarity to both technical and non-technical stakeholders.
• You take complete ownership of your research projects from initial hypothesis to final evaluation. You excel at balancing long-term scientific exploration with near-term, tangible business outcomes.
• You operate with absolute technical integrity. You proactively document assumptions, risks, and experimental limitations while consistently delivering on your promises.
• You design and evaluate machine learning architectures with a sharp 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, alongside hands-on mastery of modern machine learning frameworks such as PyTorch, TensorFlow, or Keras.
• A proven track record