Applied ML Knowledge Management Intern

Amazon Science; Seattle (WA); On-site; USD 81,000 - 136,000; Full time

Job summary

Amazon Science invites PhD students to join an Applied Science Internship focused on Information and Knowledge Management in Machine Learning. You will help build systems and frameworks powering Amazon's ML capabilities, leveraging knowledge graphs, NLP, and knowledge extraction to accelerate research.

As a PhD candidate, you will collaborate across teams, relocate as needed, and work full-time. You will access state-of-the-art compute, cutting-edge papers, mentorship, and opportunities to

Qualifications

• Enrolled in a PhD program and eligible for a full-time internship.
• Willingness to relocate to internship locations.
• Experience programming in Java, C++, Python or related language.
• Available for a full-time internship for the duration of the program.
• Demonstrated depth in research via publications, thesis work, or equivalent.

Responsibilities

• Develop scalable, automated processes for large-scale data analyses, model development, validation and implementation.
• Design, develop and evaluate innovative ML models for solving business problems.
• Research and apply latest ML techniques and best practices from academia and industry.
• Collaborate across teams to advance knowledge management within ML.

Skills

Java

Python

C++

Education

PhD program

Job description

Amazon Science invites PhD students to join an Applied Science Internship focused on Information and Knowledge Management in Machine Learning. You will help build systems and frameworks powering Amazon's ML capabilities, leveraging knowledge graphs, NLP, and knowledge extraction to accelerate research.

As a PhD candidate, you will collaborate across teams, relocate as needed, and work full-time. You will access state-of-the-art compute, cutting-edge papers, mentorship, and opportunities to