Senior Applied Scientist, Prime Video - Compression Efficiency Research Team
Core
Research and develop advanced deep learning models for video asset compression, restoration, and quality enhancement to improve Prime Video's visual quality and encoding efficiency.
Role type
Senior Applied Scientist (Video Compression & Generative AI)
Builds
Next-generation video encoding methods, DL models for restoration/up-conversion, and production-ready AI workflows for Prime Video.
Domain
Streaming media, video compression, generative AI, deep learning
Deliverable
production ML models
Required skills
Deep learning, machine learning, video processing, neural network architecture design, model optimization, deployment, ground-truth dataset creation, video quality modeling
Preferred skills
Generative AI (diffusion models), objective video quality measurement, video defect analysis, file invention disclosures, academic collaboration
Technologies
Java, C++, Python, diffusion models, video encoding standards
Responsibilities
Create new video diffusion model architectures and training methodologies; optimize and deploy models in production workflows; develop video quality models correlating with subjective ratings; conduct subjective rating tests; define team processes for ML/DL model development and guardrails; collaborate with research scientists and ML engineers; publish novel approaches in tier-1 conferences.
Seniority
Senior, hands-on IC with mentorship responsibilities