Machine Learning Internship - Fraud Engineering, Algorithms, and Risk

Santa Clara Valley (Cupertino), California, United States
Software and Services

Summary

Posted: Jul 6, 2018
Weekly Hours: 40
Role Number: 114055300
At Apple, we work to improve the security and experience of groundbreaking applications like the App Store, iTunes, Apple Music and iCloud. These services are used by millions of customers every single day across the globe. During this internship, you will work on applied research in anomaly detection and predictive modeling. Our focus is on improving Apple customer security or experience. If you take pride in designing and developing algorithms with the potential to improve Apple services, we want you to apply. Here you will learn how to analyze large datasets, turn that analysis into actionable insights, and craft working prototypes that solve problems for Apple's customers and partners.

Key Qualifications

  • Familiarity with machine learning algorithms including classifiers, clustering algorithms, and anomaly detection
  • Programming skills in Scala, Java, Python, or similar language
  • Working knowledge of SQL, Spark, or Hive preferred
  • Excellent interpersonal, written, and verbal communication skills

Description

Our team is responsible for tackling fraud, abuse & account security problems across Apple. Working hand-in-hand with specialists, program managers and business partners, you will identify problems, define solutions, execute plans, measure and communicate results.

Education & Experience

Pursuing a Bachelors, Masters, or PhD degree in Computer Science, or related fields with focus on Machine Learning.

Additional Requirements