AI Recommender Systems Internship

Amazon Science; Seattle (WA); On-site; USD 115,000 - 156,000; Full time

Benefits offered by this job

EAP

Mental Health Support

Medical Advice Line

401(k) matching

Job summary

Amazon invites applications for a full‑time 12‑week AI Applied Science Internship focused on recommender systems and information retrieval. You will work with leading researchers on deep learning, NLP, and large‑scale systems to advance production‑grade ML assets.

Ideal candidates are PhD students who can relocate, commit to 40h/week, and engage in cross‑functional collaboration with mentorship from industry leaders.

Qualifications

• PhD enrollment and willingness to relocate to base location.
• Work 40 hours/week for a 12-week internship.
• Experience in Python and one or more of the following: Knowledge Graphs, Neural Networks, ML, NLP, DL, LLMs, Graph Modeling.

Responsibilities

• Design, implement, and evaluate new recommendation/search algorithms on large datasets.
• Develop scalable data pipelines for model training.
• Research advances in recommender systems, information retrieval, and ML.
• Collaborate with cross-functional teams to deploy solutions affecting millions of users.
• Present findings via demos, docs, and potential publications.

Skills

Python

Java

Spark

Knowledge Graphs

Neural Networks

NLP

Deep Learning

GNNs

LLMs

Data Structures

Algorithms

Education

PhD candidate

Tools

PyTorch

Spark

Feature Engineering

Job description

Amazon invites applications for a full‑time 12‑week AI Applied Science Internship focused on recommender systems and information retrieval. You will work with leading researchers on deep learning, NLP, and large‑scale systems to advance production‑grade ML assets.

Ideal candidates are PhD students who can relocate, commit to 40h/week, and engage in cross‑functional collaboration with mentorship from industry leaders.