Amazon.com Services LLC
Technology
2026FallAppliedScienceInternship-Information&KnowledgeManagement(MachineLearning)-UnitedStates,PhDStudent
Neural analysis suggests this role is
optimal for Mid+ candidates.
“2026 Fall Applied Science Internship - Information & Knowledge Management (Machine Learning) - United States, PhD Student at Amazon.com Services LLC. Skills: Machine Learning, Information Management, Knowledge Graphs, Deep Learning. Develop scalable processes for data analyses. Develop efficient processes for model development”
Industry & Context.
Solve complex business problems
What They're Looking For.
Must Have
Enrolled in a PhD, Can relocate to internship location, Experience programming in Java, C++, Python, Experience with Knowledge Graphs and Extraction, Experience with Neural Networks/GNNs, Experience with Data Structures and Algorithms, Experience with Time Series, Experience with Machine Learning, Experience with Natural Language Processing, Experience with Deep Learning, Experience with Large Language Models, Experience with Graph Modeling, Available for full-time internship
Nice to Have
Publications at top-tier conferences, Experience building ML models, Experience developing algorithms for business, Experience with MxNet, Experience with TensorFlow
What You'll Do.
Develop scalable processes for data analyses
Develop efficient processes for model development
Develop automated processes for model validation
Develop automated processes for model implementation
Design innovative ML models
Develop innovative ML models
Evaluate innovative ML models
Research ML techniques
Apply ML best practices
Think about customers
Improve customer delivery experience
Use analytical techniques
Create scalable solutions
How You'll Work.
Team & Collaboration
Collaborate with brilliant minds; Work with diverse groups; Work with cross-functional teams
Full Job Description
Unleash Your Potential at the Forefront of AI Innovation At Amazon, we're on a mission to revolutionize the way the world leverages machine learning. Amazon is seeking graduate student scientists who can turn revolutionary theory into awe-inspiring reality. As an Applied Science Intern focused on Information and Knowledge Management in Machine Learning, you will play a critical role in developing the systems and frameworks that power Amazon's machine learning capabilities. You'll be at the epicenter of this transformation, shaping the systems and frameworks that power our cutting-edge AI capabilities. Imagine a role where you develop intuitive tools and workflows that empower machine learning teams to discover, reuse, and build upon existing models and datasets, accelerating innovation across the company. You'll leverage natural language processing and information retrieval techniques to unlock insights from vast repositories of unstructured data, fueling the next generation of AI applications. Throughout your journey, you'll have access to unparalleled resources, including state-of-the-art computing infrastructure, cutting-edge research papers, and mentorship from industry luminaries. This immersive experience will not only sharpen your technical skills but also cultivate your ability to think critically, communicate effectively, and thrive in a fast-paced, innovative environment where bold ideas are celebrated. Join us at the forefront of applied science, where your contributions will shape the future of AI and propel humanity forward. Seize this extraordinary opportunity to learn, grow, and leave an indelible mark on the world of technology. Amazon has positions available for Machine Learning Applied Science Internships in, but not limited to Arlington, VA; Bellevue, WA; Boston, MA; New York, NY; Palo Alto, CA; San Diego, CA; Santa Clara, CA; Seattle, WA. Key job responsibilities We are particularly interested in candidates with expertise in: Knowledge Graphs and
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