ML Engineer, Ads Experimentation & Intuitive UIs

Apple Inc.

Cupertino (CA)

On-site

USD 147,400 - 272,100

Full time

14 days+

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Benefits offered by this job

Comprehensive medical and dental coverage
Retirement benefits
Employee stock purchase plan
Educational reimbursement

Job summary

Apple Inc. in Cupertino, California, is seeking a full-stack ML Engineer to enhance its advertising systems. The ideal candidate will design intuitive user interfaces, partner with cross-functional teams, and build production-ready RAG Machine Learning models. Required qualifications include strong technical skills, a degree in a related field, and experience with A/B testing and database design. The role offers competitive compensation, including stock options and comprehensive benefits in a fast-paced environment.

Qualifications

  • Experience designing and implementing intuitive, responsive user interfaces with data visualization libraries.
  • Strong understanding of data structures and algorithms for optimization.
  • Experience building and deploying RAG Machine Learning models to production.
  • Excellent communication and presentation skills.

Responsibilities

  • Shape the future of Apple’s advertising systems.
  • Build interfaces to transform complex statistical concepts into user experiences.
  • Partner with cross-functional teams to manage application development.

Skills

User Interface Design
Data Structures and Algorithms
A/B Testing
Database Design (SQL)
Monitoring Tools (DataDog, Splunk)
Cross-functional Collaboration
Communication Skills

Education

Degree in Computer Science, Statistics, Applied Math or related field

Job description

Apple Inc. in Cupertino, California, is seeking a full-stack ML Engineer to enhance its advertising systems. The ideal candidate will design intuitive user interfaces, partner with cross-functional teams, and build production-ready RAG Machine Learning models. Required qualifications include strong technical skills, a degree in a related field, and experience with A/B testing and database design. The role offers competitive compensation, including stock options and comprehensive benefits in a fast-paced environment.
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