Machine Learning Engineer - Apple Store Online
Role Overview
The Apple Store Online team builds digital shopping, buying, and learning experiences for customers.
The applied Machine Learning Engineer will work on the Online Retail Decision Automation team.
The role covers product search, recommendations, personalization, generative AI, and Apple-wide systems and infrastructure.
Key Skills for This Role
Full Job Posting
Role overview
The Apple Store Online team builds digital shopping, buying, and learning experiences for customers.
The applied Machine Learning Engineer will work on the Online Retail Decision Automation team.
The role covers product search, recommendations, personalization, generative AI, and Apple-wide systems and infrastructure.
Responsibilities
- Research and develop algorithms for the Apple Online Store experience.
- Build models for product search and recommendation systems, including ranking and page generation.
- Develop personalization capabilities for evidence, messaging, and marketing.
- Contribute to generative AI and optimization of Apple-wide systems and infrastructure.
- Collaborate across research, engineering, data science and analytics, and product management to develop and implement machine learning algorithms.
- Lead development of scalable end-to-end machine learning solutions for retail customers and mentor other machine learning engineers.
Minimum qualifications
- 10+ years of related experience building high-throughput scalable applications or machine learning models.
- Proficiency in one or more object-oriented languages such as Python, Java, or C++, and experience building distributed systems.
- Communication, problem-solving, and strategic-thinking skills.
- Bachelor's degree in computer science, applied mathematics, statistics, or another quantitative field, or equivalent professional experience.
Preferred qualifications
- Experience building data-processing pipelines and large-scale machine learning platforms using big data technologies such as Spark, SQL, Snowflake, or Hadoop.
- Experience operationalizing distributed applications.
- Experience building full-stack applications for big data analysis, feature extraction, and annotations.
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