Come build the future of entertainment with us. Are you interested in shaping the future of movies and television? Do you want to define the next generation of how and what Amazon customers are watching?Prime Video is a premium streaming service that offers customers a vast collection of TV shows and movies - all with the ease of finding what they love to watch in one place. We offer customers thousands of popular movies and TV shows from Originals and Exclusive content to exciting live sports events. We build up the applications on all kinds of living room devices, such as, smart TVs, Stream Media Player, TV Set Top Box, you name it, to let our customers easily discover Amazon fancy content even Prime Video is not launched. Prime Video is a fast-paced, growth business - available in over 240 countries and territories worldwide. The team works in a dynamic environment where innovating on behalf of our customers is at the heart of everything we do. If this sounds exciting to you, please read on.Prime Video Beijing team is seeking a solid Software Development Engineer (SDE) intern with strong data and machine learning knowledge to build up a system to recommend the most personalized PV content for millions of living room devices in market to drive Prime Video’s engagement. In here, you will be guided by the engineers from Prime Video teams, use a set of data manipulation solutions(such as Pyspark, NumPy, Pandas, Scikit-learn), and latest technologies of AWS, such as, SageMaker, to build features make PV content easy discovered on living room devices. A successful candidate will have knowledge about the classical machine learning framework and algorithms, have great communication skills, a motivation to achieve results under the mentorship. A day in the lifeNABasic Qualifications- Experience with Python programming and data analysis libraries (Pyspark, NumPy, Pandas, Scikit-learn)- Understanding of basic machine learning concepts and algorithms (e.g. Neural Networks, XGBoost, Transformer)- Experience with PyTorch or other deep learning frameworks- Knowledge in recommendation systems or personalization- Experience with AWS services, particularly SageMaker- Experience of feature engineering and model evaluation metrics- Familiarity with PySpark or other big data processing frameworksPreferred Qualifications- Experience with large scale distributed systems- Experience of building solutions using AWS technologiesOur inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.