Applied Science Intern: AI Knowledge Systems

Amazon; Boston (MA); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

401(k) matching

Mental Health Support

Medical Advice Line

Employee Assistance Program

Job summary

Amazon seeks graduate student scientists for an Applied Science Intern in Information and Knowledge Management within Machine Learning. You will help build systems that empower ML teams to discover, reuse, and build upon models and datasets, accelerating innovation.

Focus on NLP and information retrieval to derive insights from unstructured data, using cutting-edge infrastructure and mentorship to grow technical and communication skills in a fast-paced environment.

Qualifications

• PhD enrollment with ability to relocate for internship.
• Experience with Java, C++, Python.
• Experience with Knowledge Graphs, NLP, ML, DL, or related areas.
• Available full-time for the whole internship.

Responsibilities

• Leverage AI-powered tools to accelerate research, experimentation, and prototyping.
• Critically review and validate outputs from AI tools and automated systems.
• Develop scalable, automated processes for large-scale data analyses, model development, validation and implementation.
• Design, develop and evaluate innovative ML models for complex business problems.
• Research and apply latest ML techniques and best practices from academia and industry.
• Consider customers to improve the customer delivery experience.
• Create scalable analytical solutions for business problems.

Skills

Java

Python

C++

NLP

ML

GNNs

Time Series

Algorithms

Data Structures

Education

PhD student

Tools

Knowledge Graphs

Extraction

Neural Networks

GNNs

Job description

Amazon seeks graduate student scientists for an Applied Science Intern in Information and Knowledge Management within Machine Learning. You will help build systems that empower ML teams to discover, reuse, and build upon models and datasets, accelerating innovation.

Focus on NLP and information retrieval to derive insights from unstructured data, using cutting-edge infrastructure and mentorship to grow technical and communication skills in a fast-paced environment.