Amazon
Senior Applied Scientist, Prime Video - Compression Efficiency Research Team
$167K–$226K
Seattle, WA +1 · Senior · Full-time · Posted Sep 18, 2026
- Location
- Seattle, WA
SEATTLE, WA - Experience
- 3+ years building machine learning models for business applications; PhD, or Master's degree and 6+ years of applied research experience.
- Education
- PhD, or Master's degree and 6+ years of applied research experience.
About the job
Researches and develops deep learning models and adaptive video encoding methods to improve Prime Video’s visual quality, compression efficiency, and customer experience.
What you'll do
- Create video datasets, diffusion model architectures, and training methods that preserve temporal consistency, creative intent, and perceptual quality; optimize and deploy models in production.
- Develop video quality models, measure success at scale, and conduct subjective rating tests when needed.
- Collaborate with research scientists, engineers, and product managers; publish novel research, disclose inventions, and mentor team members.
What they ask for
- 3+ years of experience building machine learning models for business applications.
- PhD, or Master's degree and 6+ years of applied research experience.
- Programming experience in Java, C++, Python, or a related language.
- Experience with neural deep learning methods and machine learning.
Nice to have
- Experience with Generative AI for image/video (e.g. diffusion).
- Experience with objective video quality measurement techniques or knowledge of video defects and how to reduce them at scale.
Pay
167,100.00 - 226,100.00 USD annually (base salary)
Tools
Java, C++, Python
AI focus
Develops video diffusion and other deep learning models for restoration, resolution improvement, color and HDR conversion, compression resilience, content-adaptive encoding, and video quality measurement.
Model-written summary · the original posting is authoritative