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 committed to revolutionizing the way the world leverages machine learning and are seeking talented graduate student scientists to join their team.
Job Description: Machine Learning Applied Science Intern
Mission: To develop the systems and frameworks that power Amazon’s cutting-edge AI capabilities.
Focus: Information and Knowledge Management in Machine Learning
Location: Positions are available in Arlington, VA; Bellevue, WA; Boston, MA; New York, NY; Palo Alto, CA; San Diego, CA; Santa Clara, CA; and Seattle, WA.
Responsibilities:
• Develop Intuitive Tools and Workflows: Create systems that empower machine learning teams to discover, reuse, and build upon existing models and datasets, accelerating innovation across the company.
• Unlock Insights from Unstructured Data: Leverage natural language processing and information retrieval techniques to extract valuable information from vast repositories of data.
• Conduct Groundbreaking Research: Explore emerging best practices and innovations in ML operations, knowledge engineering, and information management, proposing novel approaches to enhance Amazon’s AI capabilities.
• Collaborate with Diverse Teams: Work alongside talented individuals to solve complex business problems.
Key Requirements:
• Enrolled in a PhD program
• Experience programming in Java, C++, Python, or related languages
• 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
• 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 popular deep learning frameworks such as MxNet and TensorFlow
Compensation:
• Base pay ranges from $65.38/hr to $106.83/hr depending on location.
• Total compensation package may include equity, sign-on payments, and benefits.
Application:
• Apply through Amazon’s internal or external career site.
