Overview In this role you will advance Prime Video's ability to deliver the highest quality video experiences. You'll own the product, user experience, and technology to push state-of-the-art video quality through DL models and production deployments. You'll collaborate with research scientists and ML engineers to build scalable solutions for content restoration, HDR up-conversion, and perceptual quality under varying network conditions. Your work shapes how customers enjoy Prime Video content across devices and contexts, with a clear focus on real impact and innovation.
Compensation / Benefits- health insurance (medical, dental, vision)
- 401(k) matching
- paid time off
- parental leave
- restricted stock units (RSUs)
- sign-on payments
Responsibilities- Create ground-truth datasets for model training
- Design and train video diffusion model architectures for temporal consistency and perceptual quality
- Deploy and optimize ML models in production workflows
- Define and measure at-scale success metrics for video quality
- Explore scene understanding at a semantic level for improved encoding/quality
- Collaborate with research scientists to advance video encoding and compression
- Conduct subjective ratings tests and develop quality models that align with human judgments
- Contribute to development of ML/DL processes, guardrails, and team workflows
- Support product roadmap discussions with ML/AI considerations
- Mentor and help hire talent, sharing knowledge across the team
Key requirements- 3+ years of building machine learning models for business applications
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
- collaboration with cross-functional teams
- strong communication of technical concepts
- ability to translate research into production impact
- neural deep learning methods
- diffusion models for image/video
- video encoding/compression knowledge
