Machine Learning Applied Science Intern
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Job Description
About Amazon:
Amazon is a global technology company focused on e-commerce, cloud computing, digital streaming, and artificial intelligence. They are on a mission to revolutionize the way the world leverages machine learning.
About the Job:
This is an Applied Science Internship focused on Information and Knowledge Management in Machine Learning. You will be working to develop systems and frameworks that power Amazon’s machine learning capabilities.
Key Responsibilities:
• Develop intuitive tools and workflows for machine learning teams to discover, reuse, and build upon existing models and datasets.
• Leverage natural language processing and information retrieval techniques to unlock insights from unstructured data.
• Conduct research on emerging best practices and innovations in ML operations, knowledge engineering, and information management.
• Propose novel approaches to enhance Amazon’s machine learning capabilities.
• Collaborate with cross-functional teams to solve complex business problems.
Ideal Candidate Profile:
• Expertise in 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.
• Strong collaboration skills.
• Self-starter comfortable with ambiguity.
• Strong attention to detail.
• Ability to thrive in a fast-paced, ever-changing environment.
Benefits:
• Access to state-of-the-art computing infrastructure and research papers.
• Mentorship from industry luminaries.
• Opportunity to learn, grow, and make a real impact in the world of technology.
Locations:
• Arlington, VA
• Bellevue, WA
• Boston, MA
• New York, NY
• Palo Alto, CA
• San Diego, CA
• Santa Clara, CA
• Seattle, WA
Requirements:
• Enrolled in a PhD program.
• 18 years of age or older.
• 40 hours/week minimum commitment for a 12 week internship maximum.
• Ability to relocate to the internship location.
• Experience programming in Java, C++, Python, or related languages.
• Experience with 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 Qualifications:
• Publications at top-tier peer-reviewed conferences or journals.
• Experience building machine learning models or developing algorithms for business applications.
• Experience with deep learning frameworks such as MxNet and TensorFlow.
