About the job
At Amazon, we're on a mission to revolutionize the way people discover and access information. Our Applied Science team is at the forefront of this endeavor, pushing the boundaries of recommender systems and information retrieval. We're seeking brilliant minds to join us as interns and contribute to the development of cutting-edge AI solutions that will shape the future of personalized experiences.
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
Qualifications
Minimum
Are enrolled in a PhD
Can relocate to where the internship is based
Experience programming in Java, C++, Python or related language
Work 40 hours/week minimum and commit to 12 week internship minimum
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
Preferred
The ideal candidate should possess the ability to work collaboratively with diverse groups and cross-functional teams to solve complex business problems. A successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail and the ability to thrive in a fast-paced, ever-changing environment.