Amazon Applied Scientist III Prime Video Compression Efficiency Research Team 

India, Karnataka, Bengaluru 

463459398

This position involves developing advanced ML/DL models that continually improve Prime Video's Content Adaptive Encoding (CAE) practices for Video-on-demand (VoD) streaming use-case. You will work closely with subject matter experts (Research Scientists) with depth in the video encoding/quality/processing areas to maximize the video quality that Prime Video customers experience under a given network condition.Key job responsibilities
You would develop ML/DL based classification/regression models based on content properties across the processing chain involved in encoding, including changes within modern encoders to reduce run-time or to improve the level of adaptation to content properties. You would work across multiple codecs including next-gen codecs, standard and High Dynamic range content. Aspects of work can involve scene understanding at a semantic level using latest techniques. You would develop innovative solutions that achieve the best balance between speed vs performance. You would collaborate with research scientists with domain depth in video encoding/compression. You would conduct subjective ratings tests to generate ground truth data for your models, when required. You would develop novel approaches to perform fast searches in high dimensional parameter space. You would contribute to development of new video quality models that correlate highly with subjective ratings. You would define and refine team processes around ML/DL model development, deployment, and guardrail definition.A day in the life
You will work with L5-L8 Research Scientists within the team who will bring the specific problem definition required to set and meet annual goals, 3Y/5Y roadmap items. You will work with University partners who help PV explore new problem areas. You will interface with SDEs to convert the output of the research team into production workflows. You will develop new AI workflows that are more efficient from a compute perspective. You will write disclosures capturing innovative ideas in realizing low complexity, highly performant ML/DL methods and will then publish papers in internal and external conferences.

- 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