Apple · Seattle

AIML - Machine Learning Engineer, Machine Learning Platform & Infrastructure

(w/m/d) · 20.3.2025

Description

We design and build infrastructures to support features that empowers billions of Apple users. Our team processes trillions of web links to select and crawl the most relevant content to surface to users through search. As part of the team, you’d be responsible for devising the algorithms to recommend most relevant urls for different search products, classifying the quality of the content and continuously deriving the signals from the content to enhance the system further. We apply statistical analysis to improve link selection, freshness, retrieval rates, extraction quality, and many others. We take full end-to-end ownership of our services, driving them through every stage meticulously, encompassing conception, design, implementation, deployment, and maintenance. As a result, each one of us takes our responsibilities seriously. In this team, you’ll have the opportunity to work on incredibly complex large scale systems with trillions of records and petabytes of data.

Qualifications

  • MS or PhD in Computer Science or equivalent experience
  • Strong coding skills and experience with data structures and algorithms
  • Excellent interpersonal skills able to work independently as well as cross-functionally
  • Experience with machine learning algorithms and tools
  • Experience with petabyte scale data processing & building data pipelines
  • Experience with AWS Services such as Amazon S3 EC2 EKS / Kubernetes

Preferred Qualifications

  • Experience in statistics and data analysis.
  • Experience with Machine Learning/Information Retrieval/Large Scale Data-Mining are a plus
  • Experience in Web Crawling is a plus

Benefits

Application

View listing at origin and apply!