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Senior Video Compression Research Scientist
1 month ago
This position involves developing advanced machine learning models to improve Prime Video's Content Adaptive Encoding (CAE) practices for Video-on-demand (VoD) streaming use-case. The successful candidate will work closely with subject matter experts to maximize video quality under given network conditions.
Key Responsibilities- Develop ML/DL based classification/regression models based on content properties across the processing chain involved in encoding.
- Work across multiple codecs, including next-gen codecs, standard and High Dynamic range content.
- Collaborate with research scientists with domain depth in video encoding/compression.
- Conduct subjective ratings tests to generate ground truth data for models, when required.
- Develop novel approaches to perform fast searches in high dimensional parameter space.
- Contribute to development of new video quality models that correlate highly with subjective ratings.
Our mission is to build and operate the most innovative video streaming technology stack that provides the best customer-centric streaming experience for VOD and Live globally and supports all business use cases (subscription, transactional, ad-supported). We invent and implement technologies that deliver a flawless, engaging streaming experience for our customers, using the fewest bits possible.
Requirements- 3+ years of building machine learning models for business application experience.
- 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.
- Experience in patents or publications at top-tier peer-reviewed conferences or journals.
