Software Dev Engineer Intern - Data Scientist Track, Prime Video Partner Engineering

Software Dev Engineer Intern - Data Scientist Track, Prime Video Partner Engineering

Job ID: 2961399 | Amazon (China) Holding Company Limited

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, with an easy-to-navigate interface to find content they love. We provide thousands of popular movies and TV shows, including Originals, Exclusive content, and live sports events. Our applications run on various living room devices, such as smart TVs, Stream Media Players, and TV Set Top Boxes, enabling customers to discover Amazon content seamlessly, even before Prime Video is launched in their region. Prime Video is a fast-growing service available in over 240 countries and territories worldwide. Our team operates in a dynamic environment focused on innovation for our customers. If this excites you, read on.

We are seeking a talented Software Development Engineer (SDE) intern with strong data and machine learning knowledge to develop a system that recommends personalized Prime Video content for millions of living room devices, enhancing user engagement. You will work under the guidance of Prime Video engineers, utilizing data manipulation tools such as Pyspark, NumPy, Pandas, and Scikit-learn, along with AWS technologies like SageMaker, to create features that make Prime Video content more discoverable on living room devices.

The ideal candidate will have knowledge of classical machine learning frameworks and algorithms, excellent communication skills, and a strong motivation to achieve results with mentorship support.

BASIC 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, Transformers)
• Experience with PyTorch or other deep learning frameworks
• Knowledge of recommendation systems or personalization techniques
• Experience with AWS services, particularly SageMaker
• Experience in feature engineering and model evaluation metrics
• Familiarity with PySpark or other big data processing frameworks

PREFERRED QUALIFICATIONS

• Experience with large-scale distributed systems
• Experience building solutions using AWS technologies

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Amazon is an equal opportunity employer and does not discriminate based on protected veteran status, disability, or other legally protected categories.