AI Trailblazer Intern — Recommender Systems & IR

Amazon; Seattle (WA); On-site; USD 142,800 - 193,200; Full time

Benefits offered by this job

EAP and Mental Health Support

401(k) matching

Cutting-edge resources and mentorship

Job summary

A leading tech company is seeking an Applied Science Intern focused on Recommender Systems and Information Retrieval. This 12-week full-time internship provides the opportunity to work alongside experts, tackling complex machine learning challenges. Candidates must be enrolled in a PhD program, have programming experience, and be able to relocate. You'll design algorithms, develop data processing tools, and communicate findings, directly impacting the AI landscape used by millions of customers.

Qualifications

• Must be enrolled in a PhD program.
• Willing to relocate and able to commit to a 12-week full-time internship.
• Experience in programming languages such as Java, C++, or Python.
• Familiarity with machine learning concepts and processes.

Responsibilities

• Design and evaluate new recommendation/search algorithms.
• Develop scalable data processing pipelines for model training.
• Research advancements in recommender systems and ML.
• Collaborate with teams to integrate solutions into production.
• Communicate findings through presentations and documentation.

Skills

Knowledge Graphs and Extraction

Programming/Scripting Languages

Time Series

Machine Learning

Natural Language Processing

Deep Learning

Neural Networks/GNNs

Large Language Models

Data Structures and Algorithms

Graph Modeling

Collaborative Filtering

Learning to Rank

Recommender Systems

Education

PhD enrollment

Tools

Java

C++

Python

MxNet

Tensor Flow

Job description

A leading tech company is seeking an Applied Science Intern focused on Recommender Systems and Information Retrieval. This 12-week full-time internship provides the opportunity to work alongside experts, tackling complex machine learning challenges. Candidates must be enrolled in a PhD program, have programming experience, and be able to relocate. You'll design algorithms, develop data processing tools, and communicate findings, directly impacting the AI landscape used by millions of customers.