2025 Applied Science Internship – Recommender Systems/ Information Retrieval – Machine Learning

2025 Applied Science Internship – Recommender Systems/ Information Retrieval – Machine Learning

Requirements

• Are enrolled in a PhD
• Are 18 years of age or older
• Work 40 hours/week minimum and commit to 12 week internship maximum
• Can relocate to where the internship is based
• Experience programming in Java, C++, Python or related language
• Experience with one or more of the following: Knowledge Graphs and Extraction, Neural Networks/GNNs, Data Structures and Algorithms, Time Series, Machine Learning, Natural Language Processing, Deep Learning, Large Language Models, Graph Modeling, Knowledge Graphs and Extraction, Programming/Scripting Languages

Responsibilities

• Design, implement, and experimentally evaluate new recommendation and search algorithms using large-scale datasets
• Develop scalable data processing pipelines to ingest, clean, and featurize diverse data sources for model training
• Conduct research into the latest advancements in recommender systems, information retrieval, and related machine learning domains
• Collaborate with cross-functional teams to integrate your innovative solutions into production systems, impacting millions of Amazon customers worldwide
• Communicate your findings through captivating presentations, technical documentation, and potential publications, sharing your knowledge with the global AI community

Preferred Qualifications

• Have publications at top-tier peer-reviewed conferences or journals
• Experience building machine learning models or developing algorithms for business application
• Experience with popular deep learning frameworks such as MxNet and Tensor Flow