Amazon · 1 month ago
2026 Applied Science Internship - Recommender Systems/ Information Retrieval (Machine Learning) - United States, PhD Student Science Recruiting
Seattle, Washington, USA
Internship
Onsite
Intern
$65.38/hr - $107.40/hr
Start in 2026 SpringAmazon is on a mission to revolutionize information discovery through its Applied Science team. The Applied Science Intern will work on recommender systems and information retrieval, contributing to innovative AI solutions that enhance personalized experiences for millions of customers.
Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
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
Qualification
Required
Are enrolled in a PhD
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
Must be eligible for and available for full-time (40 hours per week) internship for the whole duration of the internship
Preferred
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
Benefits
Equity
Sign-on payments
A full range of medical, financial, and/or other benefits
Company
Amazon
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
Founded in 1994
10001+ employees
H1B Sponsorship
Amazon has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)
Funding
Current Stage
Public CompanyTotal Funding
$8.11BKey Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO
Leadership Team
Douglas J. Herrington
CEO, Worldwide Amazon Stores
Werner Vogels
VP & CTO
Recent News
The Motley Fool
2026-01-09
2026-01-09
2026-01-09
Company data provided by crunchbase